Congratulations to all teams shortlisted for Stage 2 of FICS! Your innovative ideas have made it to the next phase of this exciting journey.
S No. | Project ID | Idea Name | Domain | Abstract |
---|---|---|---|---|
1 | 6741 | Qurricular | QualityEducation | Qurricular is an innovative and holistic educational ecosystem, designed to foster interactive, personalized learning experiences for students and teachers alike. This project is built on a powerful AI framework to enhance critical learning outcomes (CLOs), performance-based learning objectives (PLOs), and student learning outcomes (SLOs) while engaging cognitive domains as described in Bloom’s Taxonomy (BT). Unlike traditional educational applications, Qurricular offers a seamless blend of intelligent tools, interactive micro-applications, and dynamic resources that redefine learning. Central to Qurricular’s approach is its robust suite of proprietary, indigenous micro-apps crafted to intuitively support subject-specific learning. Among these, our Qurricular Canvas (smart whiteboard) allows students and teachers to engage with an infinite virtual space that supports drawing, annotating, and adding various media types. This tool is equipped with modern features such as stylus support, in-app image insertion, and a built-in vector graphics library, creating a versatile workspace for complex subjects and creative collaboration. Designed for versatility and adaptability, this whiteboard aligns with SLOs by encouraging creativity and analytical skills in lesson planning, presentations, and interactive activities. For science-oriented learners, Qurricular includes virtual Chemistry and Physics labs. These lab simulators, crafted with advanced AI algorithms, allow students to explore scientific concepts beyond textbook limitations. The Chemistry lab enables students to conduct complex chemical experiments with precise control over variables like concentration and temperature, overcoming the factorial challenges of real lab conditions and fostering deep understanding in line with higher-order cognitive skills (BT's "Analyzing" and "Evaluating" domains). The Physics simulator covers concepts from Newtonian mechanics to quantum theory, allowing students to visualize and manipulate forces, energy, and motion in real-time. This is supported by interactive tools that stimulate critical thinking and provide context for abstract theories, meeting key PLOs in science education. In addition to its micro-applications, Qurricular integrates sophisticated AI-driven assistants designed to act as mentors, guiding users through tailored study plans, challenging topics, and study aids like flashcards, quizzes, and summarized notes. These AI assistants adapt to each user’s pace and intellectual level, ensuring that students achieve intended CLOs by actively engaging in exercises that build mastery over time. The ecosystem also includes biology simulators to visualize anatomy and cellular biology in engaging, interactive formats, further enhancing comprehensive, hands-on understanding. Qurricular’s adaptive AI and unique, feature-rich micro-applications provide a pioneering, resourceful approach to learning that meets a range of cognitive and performance objectives, setting new standards in educational technology for K-12 and beyond. |
2 | 6744 | QuickCart | DecentWorkAndEconomicGrowth | QuickCart is a modular e-commerce solution that D2C brands can integrate into their websites to address conversion and retention challenges. It includes Quick Checkout for seamless purchases, Safe COD to reduce RTO via risk management, and WhatsApp Chat for enhanced engagement. These tools improve checkout efficiency, secure COD orders, and boost retention, providing a scalable platform for D2C brands. |
3 | 6745 | Blind Buddy | GoodHealthAndWellBeing | Blind Buddy is an innovative assistive device for visually impaired individuals, using smart glasses with a real-time camera and advanced algorithms to detect objects, text, and cues. It provides audio feedback via a seamless image-to-text-to-voice pipeline, enhancing independence. Lightweight, affordable, and user-friendly, it empowers users to navigate confidently, fostering inclusivity and accessibility. |
4 | 6746 | intelligent Fabric Defect detection system | IndustryInnovationAndInfrastructure | The textile industry in Pakistan struggles with fabric defects that increase costs and waste materials. The traditional manual inspection process is slow, labor-heavy, and prone to mistakes, making it unsuitable for large-scale production. To overcome these challenges, an intelligent fabric defect detection system based on Machine learning has been developed. This system focuses on detecting defects in both plain and printed fabrics quickly and accurately, helping improve the efficiency of quality control. Machine learning models trained on fabric images allow the identification of defects with minimal human input. The system will be tested using a Raspberry Pi to ensure it works efficiently in production environments, ultimately aiming to reduce waste and improve overall production quality in the textile sector. |
5 | 6747 | Advanced Intoxication Analyzing Tool | GoodHealthAndWellBeing | The Drug Detector is a non-invasive tool combining advanced sniffing technology with AI to identify drugs from human breath. Using specialized sensors, it detects drug presence and type in real-time. Given Pakistan’s alarming rise in drug abuse—impacting 7.6 million people and 44% of university students—it offers an innovative solution for schools, offices, railways, and motorways to ensure a safer and drug-free environment. |
6 | 6748 | SoilTech | IndustryInnovationAndInfrastructure | Soil monitoring has always been a basic and fundamental step throughout the history in case of Precision Agriculture, Construction of large infrastructure, Environmental Conservations, Landscaping and Gardening, Water Monitoring, Forestry and Climate Change Mitigations. In order to improve them we have to innovate our monitoring capabilities. With the exceed growth of artificial intelligence and modern tool usage, we can improve and innovate our soil monitoring conservations.Introducing “Soilwatch” a IOT based gadget equipped with AI capabilities. Equipped with different kinds of sensors like Soil pH sensors, Soil Conductivity sensors, Soil NPK sensors, Soil Temperature sensor, GPS sensor and wifi module connected to an Arduino chipset. The gadget has a digital interface through an application “Soil Sense”. The gadget can calculate and formulate a report of exact properties of the soil through the application. It can communicate with the internet and advise the user according to user needs and best to their location. The gadget can advise the user what kind of NPK fertilizer is suited for the soil for best agriculture productivities and optimized irrigation. It can be helpful to pro users in understanding soil properties much better thus saving resources and predicting pests and diseases. It can be used anywhere and on any type of soil. |
7 | 6749 | AutoDrop | SustainableCitiesAndCommunities | AutoDrop revolutionizes campus logistics with an autonomous delivery bot designed for secure, efficient, and 24/7 operations. Featuring a six-wheel mechanism, GPS navigation, and obstacle avoidance, it ensures seamless, reliable deliveries while enhancing campus security. AutoDrop reduces human intervention, promotes innovation, and addresses delivery challenges in controlled environments like NUST. |
8 | 6750 | Breast Cancer Prediction using AI and Machine learning | GoodHealthAndWellBeing | Our project aims to develop a cost-effective, AI-powered solution for breast cancer detection using microscopic blood sample images. By integrating imaging technology, feature extraction, and machine learning, our system enhances diagnostic accuracy, reduces human error, and supports early detection. This efficient approach aligns with global health goals, promoting accessibility and innovation in healthcare. |
9 | 6751 | EcoReinforce | IndustryInnovationAndInfrastructure | This project focuses on developing a sustainable composite material by reinforcing recycled polypropylene (PP) and acrylonitrile-butadiene-styrene (ABS) with scrap carbon fiber (CF). The goal is to enhance mechanical properties such as strength, durability, and thermal stability, promoting circular economy practices and providing a cost-effective alternative to virgin polymers in high-performance applications. |
10 | 6752 | Intellicart | IndustryInnovationAndInfrastructure | This project aims to create a cost-effective smart shopping cart using barcode scanners, weight sensors, and a cashless payment system to validate items in real-time, preventing theft and improving efficiency. The cart updates inventory in real time and offers a scalable, modular design for future upgrades, addressing theft prevention, inventory management, and a smoother checkout. |
11 | 6753 | Smart Ambulance | GoodHealthAndWellBeing | This idea integrates ICU-level patient monitoring with real-time ambulance tracking, information sharing and AI-driven health predictions. The system captures vital data, predicts potential health deteriorations, and shares it seamlessly with hospitals, transforming ambulances into mobile ICUs. This ensures faster more informed emergency care, optimizing outcomes during the critical golden hour. |
12 | 6754 | PolluScan | GoodHealthAndWellBeing | This startup addresses air pollution's health risks with a portable tracker that detects pollutants like PM2.5, CO, and VOCs in real time. Linked to a mobile app, it provides health impacts, safety tips, and localized pollution maps. Affordable and user-friendly, it empowers individuals to monitor air quality, reduce exposure, and make informed health decisions, fostering safer, cleaner environments. |
13 | 6755 | Tremor Aid | GoodHealthAndWellBeing | A wearable device designed to reduce hand tremors using gyroscopic stabilization, PID-controlled motors, and reinforcement learning. This non-invasive, affordable solution adapts to tremor patterns by adjusting PID controller parameters in real-time. The device ensures precise hand stabilization, enhancing productivity and independence for individuals with conditions like Parkinson’s disease. |
14 | 6756 | Underwater Drone | LifeBelowWater | This project presents the design and development of a Remotely Operated Vehicle (ROV) for underwater surveillance. The ROV is designed with a focus on exploration and inspection of underwater structures, equipped with a color video camera, wide aperture lighting, and sensors for detecting position and location. The ROV is a class 1 vehicle, suitable for inspection of underwater buildings, bridge platforms, cabling and piping for oil and gas companies. This project also covers the various designs and control mechanisms for autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), and their navigational methods. Key components are included with an overview of components such as buoyancy control, pressure resistance, sensor systems, and thrusters. |
15 | 6758 | Sustainable Blocks | SustainableCitiesAndCommunities | "Green Blocks" is a sustainable project focused on producing Compressed Stabilized Earth Blocks (CSEB) using Plaster of Paris, soil, water, and corn peel fibers. By eliminating lime and cement, and avoiding burning at high temperatures, we aim to create eco-friendly, low-cost building materials. This innovative approach offers a viable, sustainable alternative to conventional construction materials. |
16 | 6762 | Hybrid Auctions | NoPoverty | A versatile web-based auction platform that merges static and live bidding, direct sales, and secure authentication. It features AI-driven voice controls, multiple UI modes, and forums for support. Designed for seamless user experience and security, it brings innovation to e-commerce. |
17 | 6769 | Gas Guard | IndustryInnovationAndInfrastructure | We have developed a gas leakage detection and alerting system (Gas Guard) using an ESP-32 microcontroller which is a smart safety solution designed to detect hazardous gases like LPG, methane, or carbon monoxide in enclosed spaces. The ESP32 can connect to various gas sensors in our case as the MQ-5 series to monitor gas concentrations continuously. When a gas leak surpasses a predefined threshold, the ESP32 triggers alarms i.e. like buzzers and can send real-time alerts to smartphones through mobile alarm and mail or computers via Wi-Fi and generate a real time live excel report. |
18 | 6770 | Kidney Vision | GoodHealthAndWellBeing | Kidney Vision is an AI-powered platform to predict and prevent Chronic Kidney Disease, tailored for the Pakistani population. It analyzes medical records, lab results, and lifestyle factors to identify high-risk individuals, providing early warnings for timely interventions. Supporting healthcare providers and patients with actionable insights, it helps manage risks and slow disease progression. The platform integrates with hospital systems or functions as a stand-alone app, bridging the gap in early detection and improving patient outcomes through proactive care. |
19 | 6771 | VTOL UAV | IndustryInnovationAndInfrastructure | Unmanned Aerial Vehicles (UAV) have recently shown tremendous development and increased use in a wide range of applications. Hybrid UAVs which combine the best features of fixed-wing UAVs and the multi rotor UAVs have been termed as the future of UAVs. They can take payload while also providing a good range and endurance. An added capability is Vertical take-off and Landing (VTOL) which makes them usable in congested spaces and limited area while maintaining the operational requirements. Our project includes design decisions, a communication protocol and user interface while utilizing other software that helps with the control of the system. This project uses components and flight control system of a fixed wing VTOL UAV that are controllable with simple commands and can be used with a multitude of devices, including laptops and mobile. This will pave the way for different options of controlling the UAV. The idea is to develop a viable UAV as a small-scale model to verify the design and concept paving the way for further development in the VTOL UAVs. |
20 | 6772 | Energy Optimization | SustainableCitiesAndCommunities | This project focuses on optimizing energy efficiency in the SML Complex through innovative retrofitting strategies powered by Building Information Modeling (BIM) technology using Revit 2025. The complex, located in a hot climate, faces significant energy inefficiencies, primarily due to outdated design and conventional cooling systems. These inefficiencies result in high operational costs and excessive energy consumption. The study employs a BIM-driven approach to analyze and address these challenges. By leveraging Revit's advanced energy simulation tools, the project identifies critical inefficiencies in the building's energy performance and explores various retrofitting strategies. These include upgrading insulation, installing energy-efficient HVAC systems, and incorporating solar shading. A detailed cost-benefit analysis ensures the proposed solutions are not only effective but also economically viable. This initiative draws on a robust literature review of similar retrofitting efforts in comparable climates and integrates insights from previous studies. The project's methodology involves comprehensive energy simulations, precise modeling, and practical implementation of the most effective strategies. The outcomes will be validated through pre- and post-retrofitting energy consumption data to measure impact. The expected results include a substantial reduction in energy consumption and cooling loads, leading to lower operational costs and enhanced sustainability. The project aligns with Sustainable Development Goals (SDGs) by promoting energy-efficient building practices and contributing to the global fight against climate change. Furthermore, it provides a replicable model for energy optimization and retrofitting in similar regions. Ultimately, this project demonstrates the potential of BIM technology in transforming traditional buildings into sustainable structures. Its significance lies in offering practical solutions tailored to local conditions, paving the way for wider adoption of energy-efficient practices in Pakistan and beyond. |
21 | 6773 | Eco-bricks | IndustryInnovationAndInfrastructure | Now a day’s plastic is very common in the form of plastic bottles, plastic wrappers, and food packages. Plastic is non-biodegradable material. Main issue is that we cannot decomposed the plastic. It is made of chemical polymer that cannot waste and pollute the air and also in oceans, rivers cause issue for aquatic life. But on the other hand, plastic have some qualities like chemical resistant, light in weight, malleable, versatile material that can easily turn in the form of any solid substances. According to EPA and Solid Waste Engineering Board, Pakistan has produced annually 3.03 million tons solid waste. To solve this plastic waste issue, we decided to make a building material from plastic waste that called ECO-BRICKS. Eco-bricks are eco-friendly, light weight, sustainable, low-economic cost used for building materials, pavements, roadside walks. For this purpose, we collect the soft plastic bottles, plastic wrappers, detergents packets. Then crushed them and make a slurry with sand. And these bricks then tested to know about the compression strength test, bulk density test, hardness test, test of water absorption, efflorescence test. In recent past research, authors used polyethylene terephthalate (PET). It has good chemical resistance and it have also Ultraviolet resistance. The bricks made form it have greatly resistance against water, oil, acids. These bricks are more adorable but other bricks that are make from cement, concrete are common in construction materials but these bricks are expensive in case of bricks that made from plastic. Almost 5% plastic waste are present in municipal solid waste. So these bricks can promote sustainable development and conserve our ecosystem and reduced the amount of pollution that due to plastic waste. More, it can also decrease the construction of greenhouse gases. |
22 | 6774 | Smart Grow | IndustryInnovationAndInfrastructure | This project focuses on the development of advanced ML-driven solution to tackle significant challenges in agriculture, particularly the inefficiencies in resource utilization and the reduced growth of flower plants. The key objectives include improving the efficiency of water, sunlight, and soil nutrients use to promote healthier plant growth. The project integrates real-time monitoring systems using sensors to measure critical parameters such as sunlight, temperature, water frequency, soil moisture, and Nitrogen, Phosphorous, Potassium (NPK) levels. Machine learning algorithms such as artificial neural networks will be deployed to analyze data, allowing for accurate prediction of plant growth and resource requirements. Based on the collected data, the system will optimize the use of resources like sunlight, water and fertilizers, promoting plant growth and lowering operational costs. By promoting more efficient resource use, the project also addresses societal concerns related to sustainability. It will serve to reduce the overuse of fertilizers and water, contributing to better environmental outcomes. The solution will also offer adaptability to different agricultural settings, including other crops, making it a versatile tool for addressing various agricultural inefficiencies. The result will be system targeting enhanced plant growth, reduced waste, and lower costs, contributing to more sustainable and efficient agricultural systems. The project will demonstrate the potential of ML to solve critical challenges in agriculture, ultimately benefiting both the industry and society by promoting environmental responsibility and economic efficiency. |
23 | 6775 | Smart Fuel Pulse Navigation System | IndustryInnovationAndInfrastructure | We propose a cross platform user friendly application that provides real time fuel monitoring and tracking of fleet vehicles with traditional analog fuel meters. Additionally it innovates and improves the process of fleets . |
24 | 6776 | Presentily | Other | Presentily will be an AI-powered platform designed to enhance presentation skills, particularly for students in rural areas. By pairing users with partners of similar skill levels, the platform provides a realistic practice environment. AI-driven feedback on fluency, confidence, grammar, and vocabulary helps users track their progress and identify areas for improvement. Additionally, Presentily will also offers book-reading feature to improve vocabulary, grammar, and sentence completion, providing a comprehensive language learning experience. By bridging the communication gap and empowering individuals with the skills they need to succeed, Presentily is transforming the way people learn and present. |
25 | 6777 | Spine Scanner | GoodHealthAndWellBeing | Our project reimagines traditional radiology with AI, offering swift and reliable diagnostics by scanning CT scans for precise analysis. This innovation reduces long wait times, empowers radiologists with AI-driven second opinions, and alleviates their workloads, ensuring accurate assessments. By enhancing the efficiency of radiological workflows, it transforms patient care, making radiology more accessible and impactful for society. |
26 | 6778 | Portable Jammer | IndustryInnovationAndInfrastructure | The Portable Improvised Explosive Device (IED) Jammer project focuses on developing a device that disrupts communication signals commonly used to trigger IEDs. By generating and transmitting controlled noise signals, this jammer aims to prevent remote detonation attempts, adding a crucial layer of protection in security-sensitive areas. |
27 | 6780 | Smart Breast Cancer Prediction System | GoodHealthAndWellBeing | Breast cancer remains one of the leading causes of mortality worldwide, emphasizing the urgent need for efficient, accurate, and cost-effective diagnostic tools. This project presents a Smart Breast Cancer Prediction System, leveraging artificial intelligence and imaging technology to enhance early detection. By integrating microscopic imaging with machine learning models, the system identifies malignancies in breast tissue with high precision, reducing human error and labor-intensive processes. The solution is designed to work seamlessly with a Raspberry Pi setup, making it scalable and accessible for low-resource settings. Key features include image preprocessing, active contour segmentation, feature extraction, and classification using advanced algorithms like Random Forest, SVM, and LogitBoost. Aligning with Sustainable Development Goals (SDGs) 3, 8, and 17, this system aims to improve healthcare outcomes, lower diagnostic costs, and promote global partnerships in medical technology. Early trials demonstrate the potential of this system to revolutionize cancer detection, paving the way for broader clinical adoption. |
28 | 6781 | MART LINK | DecentWorkAndEconomicGrowth | Our project is an integrated shopping mart that essentially provides convenience to people. Our mart integrates different shopping marts for groceries, beverages, and others. |
29 | 6782 | Refrigerator Monitoring | ResponsibleConsumptionAnd Production | This IoT based project is used to optimise refrigerator management in ice cream industry through monitoring refrigerator compressor health, Internal Conditions and location. Integrated with sensors and leveraging cloud infrastructure, it empowers the organizations with real-time insights, predictive maintenance and GPS-enabled geofencing to minimize spoilage, boost operations efficiency and safeguard the product for competitive differentiation. |
30 | 6783 | Landmine Detection | LifeOnLand | Landmines remain a persistent threat in many post-conflict regions, posing significant risks to civilian populations and demining personnel. Traditional landmine detection methods, such as manual probing and metal detectors, are slow, dangerous, and often result in high false-positive rates. This project addresses these limitations by developing a deep learning-based solution for detecting landmines in thermal imagery, integrated with unmanned aerial vehicles (UAVs). Leveraging convolutional neural networks (CNNs), the proposed system will analyze thermal images captured by UAVs to detect landmines accurately at a strict threshold. The UAVs provide efficient and safe coverage of hazardous areas, enabling rapid data collection and reducing human exposure to danger. The model will be trained and tested on a dataset of thermal images, enhancing detection accuracy and minimizing false negatives. By combining advanced AI techniques with UAV technology, this project aims to create a scalable and effective solution for landmine detection, contributing to safer demining efforts and supporting humanitarian missions worldwide. |
31 | 6784 | AirClear | ClimateAction | Our air purifier addresses the urgent need for cleaner air in crowded urban areas by reducing harmful particles and gases near busy roads. It features a multi-stage filtration system with pre-filters, HEPA, carbon filters, and optional PCO units, delivering purified air with minimal maintenance. Designed for schools, hospitals, and transit hubs, it is modular, energy-efficient, and integrates solar power for sustainability, benefiting public health and supporting urban sustainability goals. |
32 | 6785 | Centrifugal Pump Testing setup | IndustryInnovationAndInfrastructure | The centrifugal pump performance testing setup utilizes advanced sensors and control systems to provide accurate, real-time monitoring of critical parameters such as flow rate, head, and efficiency. This innovative solution offers a comprehensive and reliable framework for evaluating pump performance, catering to the needs of industries and academic institutions. By ensuring precision and user-friendly data visualization, this setup enhances the understanding of pump operations and supports energy-efficient system design. |
33 | 6786 | Nanofluid based Coolant | AffordableAndCleanEnergy | The idea is to implement the use of water-based nanofluids in tubular heat exchanger to enhance the cooling process. The project will require the preparation of aluminum oxide and water based nanofluids. Multiple concentrations of nanoparticles of aluminum oxide will be dissolved in water to make colloidal suspensions which will be tested for their stability and enhanced thermal conductivity. After an appropriate and stable solution is obtained, we will test an experimental heat exchanger apparatus to find the enhancement in heat transfer it has to offer in comparison to water and already present coolants in market like ethylene glycol, computer system coolants. Then with a numerical analysis in ANSYS we will test this nanofluid in different modified heat exchangers so that we further enhance our knowledge of what enhancements in heat transfer our nanofluid is offering. After achieving a well enhanced heat transfer by testing multiple concentrations and flow rates of nanofluid, an appropriate nanofluid will be suggested that is applicable in HVAC systems used in our daily life. |
34 | 6787 | Sylenzz Filament | Other | The filament extruder machine recycles plastic waste and creates new 3D printer filament, reducing costs and environmental impact. It supports higher temperatures for diverse materials, making it versatile for hobbyists, businesses, and industries. |
35 | 6789 | Hybrid Launcher | IndustryInnovationAndInfrastructure | A new hybrid launcher is to be designed for launching a UAV at low as well as high velocities. This versatile system combines two technologies: a stretchy bungee system for low velocity ejection of small UAVs, and a compressed air catapult system for high velocity ejection of larger UAVs. Such flexibility of the structural design proves the possibility to modify the system according to the sizes and functionalities of the drones. The launcher will be portable, robust and lightweight. The development of the launcher entails the construction of a frame, development and installation of a launching mechanism with the objective of analyzing the stability, accuracy, and efficiency of the launcher when launching UAVs of various specifications. The results of this study will improve the development of better and safer launch systems for use in different operational situations involving drones. |
36 | 6791 | Battery Cooling | SustainableCitiesAndCommunities | This project focuses on the design and development of an air and fins cooling system for electric vehicle (EV) batteries, specifically for the NUST EV shuttles. The system aims to mitigate the significant temperature rise in batteries under heavy load, hot weather, and during charging/discharging cycles, thereby enhancing battery lifespan and vehicle range. The solution utilizes forced air convection with optimized fin design to achieve efficient cooling. |
37 | 6792 | Drive Wise | SustainableCitiesAndCommunities | How Am I Driving is an AI-based system designed to improve road safety and enforce traffic regulations. It monitors traffic signal violations, zebra crossing misuse, overspeeding, and lane violations using real-time data from dash cameras and gps modules. Instant notifications ensure quick action by authorities to prevent accidents and improve compliance. |
38 | 6793 | AquaHarvest | CleanWaterAndSanitation | This project focuses on designing a solar-powered device to extract water from humid air using a reverse air conditioning process. It addresses water scarcity by producing potable water while also providing cool air for refrigeration and reducing air pollutants. The system integrates energy-efficient components and utilizes thermodynamic principles, ensuring sustainable operation for regions with limited freshwater access. |
39 | 6794 | EcoTherm Walls | SustainableCitiesAndCommunities | EcoTherm Walls enhance thermal comfort by integrating optimized Phase Change Materials (PCMs) into concrete blocks, stabilizing indoor temperatures and reducing energy use. Despite PCMs’ cost, strategic placement ensures affordability. Ideal for low-income housing, EcoTherm Walls lower utility bills, minimize carbon emissions, and provide a sustainable, energy-efficient solution for regions with extreme climates. |
40 | 6795 | CrossCloud Complaince | IndustryInnovationAndInfrastructure | CloudSecure Audit is a multi-cloud compliance auditing tool designed to help organizations streamline their cloud infrastructure audits. It automates compliance checks, identifies configuration gaps, and generates actionable reports to meet industry standards, ensuring security and compliance across AWS, Azure, and Google Cloud. |
41 | 6796 | Eco-Threads | ClimateAction | Eco-Threads is a visionary initiative aimed at revolutionizing Pakistan's textile industry by embracing sustainable and eco-friendly practices Recognizing the severe environmental challenges posed by the clothing sector—such as excessive water usage, hazardous chemicals, and the lack of sustainable production—Eco-Threads seeks to address these issues while contributing to a greener and more sustainable future. The concept revolves around the production of 100% organic clothing products that are not only environmentally friendly but also premium in quality and economical in pricing. By utilizing recycled materials and innovative textile production techniques, Eco-Threads minimizes environmental impact while meeting the growing demand for sustainable fashion. The project also aspires to inspire a shift in consumer behavior, encouraging greater environmental stewardship without compromising on style. Pakistan ranks as the fifth most vulnerable country to climate change, yet its budget allocation for tackling environmental challenges remains insufficient. Eco-Threads steps in to fill this gap by aligning its mission with global sustainability goals and leveraging resources from key partnerships, such as suppliers of recycled materials and environmental organizations. The initiative also plans to collaborate with experienced mentors, including scientists and industry experts, to ensure the highest standards of eco-friendly production. |
42 | 6797 | VTOL UAV | IndustryInnovationAndInfrastructure | In the recent years, Unmanned Aerial Vehicles (UAVs) have witnessed remarkable advancements, finding applications across diverse fields. Hybrid UAVs, combining the superior range and endurance of fixed-wing designs with the agility of multi-rotor systems, are termed as the future of aerial technology. Their unique Vertical Take-Off and Landing (VTOL) capability enables seamless operation in congested or confined spaces, while meeting critical operational demands with efficiency and precision. This project focuses on the design and development of a fixed-wing VTOL UAV, which includes the integration of avionics for a seamless flight control. The aim is to develop a versatile and innovative UAV that delivers cost-effective and efficient solutions across diverse applications, including precision agriculture, security surveillance and medical logistics, while optimizing aerodynamic performance and leveraging cutting-edge research to enhance functionality and reliability. |
43 | 6798 | Atmospheric Water Generator | CleanWaterAndSanitation | Our Atmospheric Water Generator (AWG) provides a sustainable solution for clean drinking water by extracting moisture from the air. It is designed to produce up to 3 liters of water per day using an energy-efficient vapor compression cycle (VCC) and environmentally friendly refrigerants. |
44 | 6799 | Grow Plantation | ClimateAction | Environmental problems have gotten worse as a result of Karachi's urbanization, and current plantation initiatives lack a centralized framework to track and assess results. By providing climate-specific plant care tools, an interactive map to record and track green spaces, and a digital platform for real-time tracking of plantation efforts, "Grow Plantation" fills this gap. "Plantation Grow" encourages long-term community involvement by giving people the means to monitor and manage plantation efforts, making Karachi greener and healthier. |
45 | 6800 | Review Analyzer | IndustryInnovationAndInfrastructure | This project focuses on creating a system for analyzing product reviews to ensure genuine ratings. By leveraging AI techniques like natural language processing and sentiment analysis, it identifies and filters fake or biased reviews. The solution promotes trust, helping consumers make informed decisions and enabling businesses to maintain fair and credible reputations in the marketplace. |
46 | 6801 | Pesticide Sprayer | DecentWorkAndEconomicGrowth | Manual pesticides spraying methods are often inefficient, leading to pesticide overuse, uneven coverage, and excessive human exposure to harmful chemicals. These issues not only impact crop health and yield but also pose environmental and health risks. A pesticide sprayer robot offers a solution by automating the spraying process with high precision, reducing pesticide waste ensuring even distribution across crops. |
47 | 6802 | Self-healing asphalt | IndustryInnovationAndInfrastructure | In General Bitumen itself is a Self-Healing Material because of its Visco-Elastic Properties. Different Materials have been opted for the Self-Healing Asphaltic Mixture. In this Research, Steel Wool Fibers has been utilized as an Aggregate. The use of induction heating and Microwave Heating technology is considered for repair of Asphalt Pavements to promote self-healing of asphalt mixtures with cracks will be heated filled with Steel Wool fibers. The main purpose of this research was to test the hypothesis of a new type of asphalt material that could artificially heal and repair itself by applying heating to the surface of the mixture and simultaneously implanting Steel Wool fibers into the asphalt mixture. Self-Healed Hot Mix asphalt samples were designed and manufactured and contained 4%,8%,10%,12%,16% and 20% steel wool fibers by weight of the samples and tested for Marshal Stability test, flow test and Rutting Test to know its Effectiveness. For fracture potential, cracks were made manually using an iron wedge and hammer. The Marshall protocol was used to design the HMA mixtures accordance with different percentages of Steel wool Fibers to test the physical and volumetric properties and compare them with control mixtures. The samples are tested under microwave heating at 160 o C. The obtained results of the prepared sample were compared with the Standard Samples provided by AASHTO. Stability at 4% was 75% and at rest 8%,10%,12%,16%, and at 20% was 81%,88%, 95%, 78% and 70% respectively. This indicates that the recovery of the healing mechanism of the sample with less fiber content took longer and also less convergence compared to the control mixture. The Microwave heating showed that the cracks were healed minorly during the healing period, although it was well heated. So, these Samples provides more stability comparatively to the Standard Results By AASHTO, but the samples do not properly Self-healed under Microwave Heating as per Requirement. |
48 | 6803 | Health monitoring of buildings | IndustryInnovationAndInfrastructure | This project presents an integrated approach to structural health monitoring, assessment, and retrofitting of compromised Reinforced Concrete (RCC) members using advanced sensors and techniques. The proposed methodology combines real-time monitoring, data analysis, and condition assessment to detect early signs of damage and deterioration. Advanced retrofitting techniques using Fiber-Reinforced Polymer (FRP) wraps are then employed to strengthen compromised RCC members. This comprehensive approach enables proactive maintenance, enhances public safety, and reduces economic losses associated with infrastructure failures. |
49 | 6804 | Road Maintenance | IndustryInnovationAndInfrastructure | The project develops guidelines for road maintenance and management system in Karachi, focusing on urban infrastructure challenges such as insufficient budgets, inadequate planning, and data deficiencies. Leveraging case studies, it explores best practices, including GIS and PMS- based tools, and evaluates their adaptability to Karachi's context, identifying road deterioration on factors and proposing strategies to enhance road sustainability and functionality in developing urban settings. |
50 | 6805 | Simulating Rap bitumen Aging in diverse temperature and analysis of Rejuvenator Effect | IndustryInnovationAndInfrastructure | This project simulates the aging of Reclaimed Asphalt Pavement (RAP) bitumen under diverse temperature zones in Pakistan and evaluates the rejuvenator's effectiveness in restoring its properties. By enhancing RAP's usability, this approach reduces construction costs, minimizes resource waste, and promotes sustainable, cost-effective road development to benefit low-income communities. |
51 | 6806 | Traffic congestion analysis using modern techniques and computer based modeling for Urban Mobility enhancement | SustainableCitiesAndCommunities | Traffic congestion is a growing challenge in urban areas, leading to increased travel times, environmental pollution, and economic losses. This study focuses on leveraging modern technologies and computer-based modeling to analyze and address traffic congestion effectively. Advanced techniques such as computer vision, machine learning, and Internet of Things (IoT) devices are employed to monitor and analyze traffic patterns in real-time. Computer vision is utilized for vehicle detection, traffic density estimation, and identifying congestion hotspots, while machine learning algorithms predict traffic trends and optimize routing based on historical and real-time data. IoT-enabled devices, including sensors and cameras, provide seamless and continuous data streams to enhance analysis. Additionally, computer-based modeling tools such as SUMO and VISSIM are employed to simulate traffic flow and test the effectiveness of various congestion mitigation strategies. Digital twin technology is explored to create virtual replicas of urban traffic systems, allowing for the assessment and refinement of proposed interventions without physical implementation. The integration of these technologies aims to enhance urban mobility by improving traffic management, reducing delays, and promoting efficient infrastructure utilization. The outcomes of this research are intended to assist urban planners and policymakers in developing data-driven strategies for managing traffic congestion, optimizing transportation systems, and fostering sustainable urban mobility. By addressing one of the critical challenges of modern urbanization, this study highlights the potential of advanced computational methods in creating smarter and more efficient cities |
52 | 6807 | Health Sync | IndustryInnovationAndInfrastructure | This project focuses on developing a web-based platform that simplifies healthcare management by integrating advanced features for both patients and healthcare providers. Key functionalities include patient and doctor registration, electronic medical records (EMR), appointment scheduling with reminders, prescription management, billing, and personalized user dashboards. A standout feature is the AI-powered primary consultant system, which assists patients in identifying the appropriate specialist by analyzing uploaded injury images. The platform also ensures secure management of medical records and includes features like healthcare professional verification, detailed profiles, and user reviews to support informed decision-making. Developed with HTML, CSS, JavaScript, React, Node.js, Express.js, and MongoDB, the system aims to enhance healthcare accessibility and efficiency. By leveraging modern web technologies and AI, the platform streamlines processes, minimizes errors, and bridges the gap between patients and providers, contributing to a seamless and user-friendly healthcare experience. |
53 | 6808 | Infrastructure investment strategies for economic growth and resilience. | IndustryInnovationAndInfrastructure | Xtract Engineers is an app designed to boost Pakistan’s economic growth through infrastructure development. It connects engineers and architects, offering tools like an AI chatbot, newsfeed, admin portal, and appointment booking. By enhancing collaboration, knowledge sharing, and decision-making, the app transforms the construction industry, creating jobs and driving sustainable development. |
54 | 6809 | Actuated signal system | DecentWorkAndEconomicGrowth | An actuated signal system is a dynamic traffic control mechanism designed to optimize the flow of vehicles and pedestrians at intersections. Unlike pre-timed signal systems that operate on fixed schedules, actuated systems adapt in real-time to traffic conditions by utilizing sensors and detectors. These systems detect vehicle presence, movement, and volume to adjust signal timing, reducing delays and enhancing road efficiency. The primary goal of an actuated signal system is to ensure a smoother traffic flow, minimize congestion, and improve safety at intersections.Key advantages of actuated signal systems include reduced waiting time, lower fuel consumption, and decreased emissions due to minimized idling. |
55 | 6810 | Biochar Applications | SustainableCitiesAndCommunities | The construction industry is increasingly adopting sustainable materials to reduce its environmental impacts, and one of the innovative solutions is biochar. Biochar is a carbon-rich byproduct from the pyrolysis of organic waste, which is also promising for improving concrete and wastewater treatment. Biochar added to concrete improves mechanical properties, where 10% substitution increases compressive strength by up to 30%, and its porous nature makes it easier to work and reduce weight. At the same time, the large surface area of biochar provides efficient adsorption for the removal of contaminants like heavy metals and organic pollutants in wastewater, removing up to 90% of some pollutants. This dual functionality aligns with sustainability goals and environmental standards. This study explores biochar's combined application in concrete and wastewater treatment, emphasizing its activation through effluent wastewater to enhance adsorption capabilities. Laboratory-scale experiments will evaluate biochar's production from various organic wastes, its pollutant removal efficiency, and its impact on concrete strength. The project will highlight the role of biochar in supporting resource efficiency and a circular economy by identifying optimal types of biochar for these applications and demonstrating its benefits. It transforms organic waste into valuable materials, addressing environmental challenges while meeting regulatory requirements in construction and water management. |
56 | 6811 | Advanced design Approach for high rise structures with transfer slab; Performance and efficiency | IndustryInnovationAndInfrastructure | The increasing complexity of high-rise building designs necessitates innovative structural solutions that balance architectural flexibility with structural performance. Transfer slabs, as critical load redistribution systems, enable larger open spaces on lower floors while maintaining the stability of upper levels. The design addresses Structural feasibility and stability, considering the significant load transfer and discontinuity introduced by the transfer slab, Serviceability criteria, including deflection control of the transfer slab, Constructability and practical implementation of the transfer slab system, considering construction sequencing and temporary supports, Seismic performance of the structure, ensuring adequate load path continuity and minimizing torsion effectively. . Advanced computational modeling and finite element analysis are employed to evaluate the performance of the transfer slab and the overall building system. Innovative materials, including high-strength concrete and hybrid reinforcement systems, are explored to enhance load capacity and durability. The project delivers a comprehensive design solution that integrates structural efficiency with architectural adaptability, offering a framework for future high-rise construction projects. The findings provide valuable insights for engineers and architects, contributing to the development of resilient and sustainable urban infrastructure. |
57 | 6812 | Protocols for pavement characteristics and its vaidation on Blackspots of Karachi City, Pakistan | SustainableCitiesAndCommunities | This project, titled "Experimental Protocols for Pavement Characteristics and its Validation on Blackspots of Karachi City, Pakistan," focuses on addressing the pressing issue of traffic accidents caused by poor road conditions in Karachi. Statistics from the Road Traffic Injury Research and Prevention Centre highlight that over 50% of serious injuries in Karachi are attributable to road faults, underscoring the urgent need for targeted interventions. The study aims to develop a systematic experimental protocol to evaluate key pavement characteristics—such as skid resistance, surface texture, roughness, and structural integrity—and their impact on accident rates, particularly in high-risk areas known as black spots. The motivation for the research stems from Karachi's unique challenges, including its diverse road network, population density, and substandard pavement maintenance, which contribute significantly to accidents and inefficient traffic flow. Drawing on literature from pavement engineering and urban safety studies, the project employs data-driven methodologies, including Geographic Information Systems (GIS) and statistical tools like SPSS, to identify and prioritize black spots for maintenance and improvement. The objectives include formulating a protocol for systematic pavement assessment, identifying correlations between pavement deficiencies and accidents, and recommending cost-effective maintenance strategies to enhance road safety. Through field inspections, laboratory testing, and validation against accident data, the study seeks to establish a scalable framework that stakeholders can replicate in other urban contexts. The expected outcomes of the project are manifold, including reduced accident rates, improved road durability, enhanced traffic efficiency, and actionable insights for urban planning. Moreover, by addressing pavement distress proactively, the project anticipates economic benefits, such as lower rehabilitation costs and reduced vehicular wear and tear. The research also emphasizes environmental advantages by promoting smoother traffic flow and decreasing emissions. Ultimately, this work aspires to set a benchmark for pavement maintenance in Karachi, ensuring safer and more sustainable urban transportation for its citizens. |
58 | 6813 | OsteoScreen | GoodHealthAndWellBeing | This project develops a machine learning model to predict Bone Mineral Density (BMD), T-scores, Z-scores, fracture risk, and WHO classifications using X-ray and clinical test data. By eliminating the need for DEXA scans, the model streamlines osteoporosis diagnosis, leveraging advanced feature engineering and deep learning for accurate, cost-effective, and accessible healthcare solutions. |
59 | 6814 | Green Infrastructure | SustainableCitiesAndCommunities | Urban flooding is a growing challenge in Karachi due to inadequate drainage systems, increasing urbanization, and intensified rainfall from climate change. This project proposes an innovative approach to flood management and groundwater recharge through the integration of green infrastructure. Green infrastructure, including permeable pavements, rain gardens, green roofs, and bio-swales, offers a sustainable alternative to conventional drainage systems by mimicking natural processes to manage water flow and enhance infiltration. The study focuses on Karachi's urban landscape, identifying flood-prone areas and evaluating their suitability for green infrastructure implementation. A hybrid methodology combining data analysis, hydrological modeling, and spatial planning is employed to optimize the placement and performance of green infrastructure solutions. The project also incorporates predictive modeling using artificial intelligence to forecast flood risks and assess the impact of proposed interventions. Real-time monitoring is enabled through the integration of IoT-based sensors that collect data on rainfall intensity, soil moisture, and water levels. These inputs allow dynamic management and adjustments to green infrastructure performance during varying weather conditions. The design process prioritizes cost-effectiveness, adaptability to Karachi’s unique environmental conditions, and alignment with urban planning guidelines. The expected outcomes include reduced urban flooding, increased groundwater recharge, and decreased reliance on overburdened drainage systems. Additionally, the project aims to enhance urban resilience and contribute to sustainable city planning by creating replicable models for other flood-prone regions. The framework will include an analysis of technical feasibility, economic benefits, and long-term environmental impact. This project stands out for its innovative integration of advanced technologies and nature-based solutions tailored to Karachi’s specific challenges. It bridges the gap between environmental sustainability and urban infrastructure development, providing a scalable and future-ready solution to mitigate flooding while addressing water resource scarcity. Key insights and findings will be presented during the display, supported by simulations, data visualizations, and a clear roadmap for implementation. By combining green infrastructure, smart technologies, and community engagement, this project aims to redefine flood management strategies in urban settings, setting a benchmark for sustainable urban development in Pakistan and beyond. |
60 | 6816 | Smart techniques | IndustryInnovationAndInfrastructure | Labor productivity plays a pivotal role in the successful execution of construction projects, yet it is often hindered by inefficiencies, delays, and outdated practices. This paper explores the integration of smart techniques and modern tools to optimize labor performance in construction management. Key strategies include the adoption of Building Information Modeling (BIM) for precise planning and scheduling, wearable technology for real-time workforce monitoring, and data-driven decision-making through Artificial Intelligence (AI) and Internet of Things (IoT) devices. Additionally, advanced project management methodologies, such as lean construction and reverse scheduling, are evaluated for their ability to minimize idle time and maximize resource utilization. The study highlights how these innovations reduce rework, enhance collaboration, and ensure effective communication among teams. Case studies and quantitative analysis demonstrate that implementing these tools and techniques can improve labor productivity by up to 25%, reduce project timelines, and significantly lower costs. This research provides a comprehensive framework for construction managers seeking to modernize their practices and achieve higher efficiency and profitability in their projects. |
61 | 6817 | Comparative Analaysis | SustainableCitiesAndCommunities | This project conducts a comparative analysis of stormwater runoff using Sustainable Urban Drainage Systems (SUDS) techniques, such as permeable pavements, green roofs, and rain gardens. It evaluates their effectiveness in reducing runoff, improving water quality, and enhancing urban resilience to flooding.The findings aim to guide the implementation of sustainable drainage solutions in urban areas. |
62 | 6818 | Poultry Guardian | GoodHealthAndWellBeing | Poultry Guardian leverages IoT technology to monitor harmful gases in poultry farms in real time. By using advanced sensors and automated alerts, it ensures a healthier environment for workers and animals, reducing health risks and enhancing productivity. The system integrates SDG goals, including improved well-being and sustainable practices. |
63 | 6819 | Solpure | CleanWaterAndSanitation | Solpure: Solar-powered water purification system. Removes 99.99% contaminants. Portable, low-maintenance & eco-friendly. |
64 | 6821 | AshRub Fusion | NoPoverty | This study explores the use of crumb rubber and wood ash together as sustainable stabilizers for soil. By incorporating these waste materials, the research seeks to improve soil characteristics like strength and durability while minimizing environmental impact. Laboratory tests will assess their effectiveness, providing an eco-friendly option for soil stabilization in construction projects |
65 | 6822 | Baymax | DecentWorkAndEconomicGrowth | Our autonomous delivery bot is designed for seamless indoor and outdoor operations in airports, universities, malls, and more. Using SLAM, YOLO, and AI, it ensures efficient path planning, obstacle avoidance, and terrain-friendly navigation on smooth and rough surfaces. Ideal for diverse applications, it offers a cost-effective, sustainable, and scalable solution for modern delivery needs. |
66 | 6825 | Dentrat | GoodHealthAndWellBeing | Our project, Dentrat, enhances dental diagnostics through a U-Net-based segmentation system tailored for analyzing Orthopantomogram (OPG) images. Unlike traditional classification-based approaches, our model isolates and examines specific regions within dental x-rays, enabling precise detection of conditions such as cavities, periodontal disease, bone loss, and impacted teeth. Using Python for backend processing and React for a user-friendly frontend, our tool provides detailed, accurate, and immediate diagnostic insights. This innovative system benefits both dental professionals and consumers, offering a comprehensive and accessible solution for oral health assessment. |
67 | 6826 | Solar Based Hybrid Air Condition | SustainableCitiesAndCommunities | This project focuses on creating a solar-powered hybrid air conditioner that runs mainly on solar energy during the day and switches to battery power at night. The goal is to reduce electricity usage by using sunlight as the primary energy source. During the day, the air conditioner runs on solar power, and at night, it uses batteries to keep cooling without needing grid power. This system is designed to be energy-efficient and environmentally friendly, cutting down on electricity costs and reducing carbon emissions. It’s ideal for areas with plenty of sunlight or places where electricity is expensive or unreliable. The hybrid design ensures the air conditioner can run all day, offering a sustainable and cost-effective way to stay cool. |
68 | 6828 | Tethered Drone | IndustryInnovationAndInfrastructure | This project focuses on the design and development of a customizable tethered drone system capable of operating in both tethered and free flight modes. The system supports a power rating of 1000 Watts (customizable) with a tether cable length ranging from 5-100 meters. Any type of drone with a power rating of 1000 Watts can be attached to our system for a 24/7 flight. |
69 | 6829 | HomeConnect | SustainableCitiesAndCommunities | HomeConnect: A Comprehensive Apartment and Society Management System HomeConnect is an innovative and robust apartment and society management system designed to streamline and automate various aspects of residential community administration. This project aims to simplify complex management tasks, enhance communication, and improve overall living experiences within apartment complexes or gated communities. HomeConnect integrates cutting-edge technology to provide a seamless interface for residents, management committees, and service providers. The system is built with features that address key pain points in managing residential societies. It allows for efficient handling of tasks such as visitor management, maintenance requests, billing, payments, and communication. HomeConnect provides a centralized platform where residents can book amenities, raise complaints, and receive community updates, fostering transparency and accountability within the community. One of the standout features of HomeConnect is its visitor management module. It ensures enhanced security by maintaining digital records of visitors, enabling pre-registration of guests, and generating one-time access codes. The system also supports integration with smart devices, such as biometric scanners and QR code readers, for secure and seamless access control. Financial management is another critical component. HomeConnect offers tools for generating maintenance bills, tracking payments, and automating reminders for dues. It provides detailed financial reports and audit trails, ensuring transparency in financial dealings. Payment gateways are integrated to facilitate online payments, making it convenient for residents to manage their dues. To foster better communication, HomeConnect features a built-in messaging system and notice board. It enables real-time notifications for critical announcements and allows residents to engage in community discussions. The system also supports the scheduling of events and the booking of shared facilities like clubhouses, swimming pools, and sports courts. The system emphasizes user-friendliness and accessibility. It is designed as a web-based application with a mobile-friendly interface, ensuring residents and management can access its features on the go. The mobile app includes push notifications, ensuring users stay updated with important information in real-time. HomeConnect also focuses on data privacy and security. It implements secure login mechanisms, role-based access control, and data encryption to safeguard sensitive information. Regular data backups ensure that information is not lost in case of unforeseen events. In summary, HomeConnect offers a comprehensive solution for managing residential communities efficiently. By automating processes, enhancing communication, and improving transparency, it aims to transform how apartment complexes and societies are managed, fostering a more harmonious living environment for residents. |
70 | 6830 | Drone Diagnostics | IndustryInnovationAndInfrastructure | This research investigates the integration of machine learning with drone surveillance systems specifically for Structural Health monitoring for the crack detection in beams within infrastructure maintenance, highlighting the urgent need for precise and efficient methods to ensure safety and cost-effective upkeep. Traditional inspection techniques for beams are critiqued for their limitations, while the transformative potential of combining machine learning with drone surveillance is explored, showcasing their synergistic capabilities in revolutionizing beam inspection processes. Drone surveillance, equipped with high-resolution cameras and advanced sensors, captures detailed imagery of beams in critical infrastructure assets, offering benefits like accessibility, rapid data collection, and enhanced safety. The role of machine learning algorithms, particularly Convolutional Neural Networks (CNNs), in automating crack detection in beams from drone images using techniques such as feature extraction and classification algorithms, is emphasized. The workflow for crack detection in beams comprising data acquisition, preprocessing, training, inference, and alert generation is outlined, demonstrating seamless integration and efficacy in ensuring prompt responses to structural issues. The benefits of machine learning-powered crack detection using drone surveillance are detailed, with a focus on early detection, efficiency, safety, and data-driven maintenance. Case studies underscore the versatility and effectiveness of this approach in enhancing the reliability and safety of beams within infrastructure. |
71 | 6831 | IntelliWear | GoodHealthAndWellBeing | IntelliWear is a revolutionary smart wearable tank top designed for early breast cancer detection. It utilizes advanced sensors, including thermal, EMG, and optical, integrated with AI to monitor breast health and detect abnormalities. A mobile application provides real-time health insights, empowering users with early warning and actionable guidance, fostering prevention and timely treatment. |
72 | 6833 | Tahafuz App | PeaceJusticeAndStrongInstitutions | Tahafuz is a safety solution that combines a mobile app with a compact Nano IoT device to enhance personal security. The solution includes a "Shake Feature" that allows users to send SOS alerts, share live locations, and record audio on their phones simply by shaking the device, without needing to access the app. The Nano IoT device complements this with offline recording capabilities, storing audio on an SD card when activated by a button press and later syncing the recordings to the mobile app for easy playback. Designed as the most affordable hardware in its category, Tahafuz ensures reliability and accessibility. Future plans include integrating AI to automatically detect and categorize audio, making it a future-ready safety tool for enhanced personal protection. |
73 | 6834 | Chef at your door | NoPoverty | Developed using an agile project methodology, Meal Mingle ensures that both consumers and chefs benefit from an evolving, responsive platform. The app caters to the growing demand for tailored dining experiences in the food delivery industry, offering a solution that allows customers to enjoy restaurant-quality meals without leaving their homes or spending hours in the kitchen. In addition to enhancing the dining experience for consumers, Meal Mingle offers chefs a flexible platform to showcase their culinary skills, expand their reach, and connect directly with customers. As demand for Abstract Meal Mingle is an innovative mobile application that bridges the gap between consumers and professional chefs, providing an on-demand service for personalized, home-cooked meals delivered directly to users' doorsteps. Designed for individuals who seek convenience without sacrificing quality, Meal Mingle allows customers to browse a variety of chefs, select their preferred meals, and schedule deliveries based on personal tastes, dietary requirements, and specific cravings. The app features a seamless interface with real-time tracking, secure payment options, and user ratings to ensure a reliable, high-quality experience. |
74 | 6835 | Glassy gate | SustainableCitiesAndCommunities | This research aims to address the growing environmental concerns and resource depletion in the construction industry by developing sustainable building materials. Specifically, we focus on creating innovative aggregates from waste glass and clay. By combining these materials and subjecting them to a high-temperature process, we aim to produce strong, durable aggregates that can be used in the production of interlocking concrete blocks. Through a series of tests, we will evaluate the mechanical properties, microstructure, and durability of these new aggregates. Ultimately, we seek to develop interlocking blocks that not only meet industry standards for strength and durability but also contribute to a more sustainable future by reducing reliance on natural resources and minimizing environmental impact. |
75 | 6836 | Detect-iPro | IndustryInnovationAndInfrastructure | Our system automates bike part defect detection and classification using AI and computer vision. High-resolution cameras capture detailed images, analyzed by machine learning models for defects. Mechanical sorting ensures high-quality products pass, enhancing efficiency and reducing human error in production. |
76 | 6837 | Vision desk | NoPoverty | Smart Class is an advanced educational tool designed to enhance traditional teaching methods through technology integration. It combines a smart board with a smart rostrum, creating a synchronized ecosystem where educators can deliver lessons interactively and efficiently. The smart board facilitates multimedia content display, real-time annotations, and interactive problem-solving. Meanwhile, the smart rostrum allows educators to control presentations, access digital resources, and manage classroom activities seamlessly. This product is tailored to modernize learning environments, catering to schools, colleges, universities, and corporate training setups. |
77 | 6838 | Spine Guard | GoodHealthAndWellBeing | Design and develop a wearable device that provides posterior correction and support for individuals with scoliosis or other spinal deformities. This device aims to promote independence, safety, and quality of life by: 1. Enhancing posture 2. Preventing falls 3. Ensuring timely interventions for spinal-related emergencies The device will benefit two primary groups: 1. Aged Individuals: Improving posture, preventing falls, and enabling timely interventions for spinal-related emergencies. 2. Young Generations: encouraging proper sitting posture, preventing long-term spinal damage from prolonged sitting, and promoting healthy lifestyle habits. By providing posterior correction and support, this wearable device will enhance the lives of individuals with spinal deformities, enabling them to live more confidently and independently. |
78 | 6839 | Optihealth | GoodHealthAndWellBeing | The AI-Based Eye Health Diagnostic System is a mobile app leveraging AI to detect over 40 eye diseases from fundus images. It validates image type, diagnoses conditions, generates detailed reports, and offers personalized health recommendations. Users can track progress and share reports with doctors, making eye care accessible, affordable, and efficient for everyone. |
79 | 6840 | AI BASED SOLAR PANEL CLEANING SYSTEM | IndustryInnovationAndInfrastructure | Solar energy is a vital source of renewable energy, but its efficiency is significantly affected by the cleanliness of solar panels. Manual cleaning methods are labor-intensive, time-consuming, and often ineffective. This project presents an AI-based solar panel cleaning system that utilizes machine learning algorithms and computer vision techniques to detect dirt and debris on solar panels. Real-time monitoring and data analysis enable the system to optimize cleaning schedules, reduce water consumption, and improve overall solar panel efficiency. Experimental results demonstrate the effectiveness of the proposed system in maintaining clean solar panels, resulting in increased energy output and reduced maintenance costs. |
80 | 6841 | Carry Pro | GoodHealthAndWellBeing | Carry Pro is a revolutionary smart backpack designed to address common issues such as unbalanced weight distribution, poor posture, discomfort, and fatigue. Equipped with advanced features including intelligent posture tracking, three-point pressure detection, and personalized ergonomic support, Carry Pro actively monitors and corrects user posture. This innovative solution targets a significant market, focusing on millennials and Gen Z adventure travelers, with the adventure tourism market in Pakistan alone witnessing rapid growth—69% of this demographic expressing interest in adventure travel. Our business model emphasizes Direct-to-Consumer (DTC) strategies, leveraging online channels like the Carry Pro website, social media, and marketplace platforms to reach a global audience. Currently in the prototype testing stage, Carry Pro is set to launch by February 2025, offering a unique blend of technology and ergonomics to improve health and lifestyle. Backed by a multidisciplinary team of experts in biomechanics, software development, hardware design, and marketing, our vision is to take this "Made in Pakistan" innovation to global markets |
81 | 6842 | IOT Based Solar Charging Station for Electric Vehicles | IndustryInnovationAndInfrastructure | The IoT-based Solar Charging Station for Electric Vehicles integrates renewable solar energy with smart technology to provide a sustainable, autonomous, and efficient charging solution. It uses solar panels to generate power, IoT for real-time monitoring, and an app for easy access and management, ensuring cost-effective and eco-friendly charging for EV users in urban and remote areas. |
82 | 6843 | Robotic Capsule | GoodHealthAndWellBeing | Smart capsules represent a significant advancement in gut health diagnostics. These devices enable precise sampling of gut microbiota, providing insights into individual health and personalized medicine. By overcoming traditional sampling challenges, such as contamination and complexity, smart capsules facilitate a better understanding of the microbiome's role in overall health and disease management. |
83 | 6844 | AI-Driven Cyber-Threat-Intelligence | IndustryInnovationAndInfrastructure | Cybersecurity solution “Cyber Vigilant” focuses on "AI Driven Threat Intelligence and Deep Packet Inspection”. The project leverages advanced technologies such as real-time web traffic monitoring and machine learning to enhance network security and ensure robust threat mitigation. The system aims to provide comprehensive monitoring and threat detection capabilities, including near real-time payload and non-payload traffic analysis to identify anomalous behaviors, unusual network traffic and zero-day exploits. It also integrates an automated mechanism for phishing email detection based on email headers and content analysis, an industry provided requirement for the project. A user-friendly web application interface will empower users to identify potential threats and receive actionable mitigation recommendations. Additionally, Cyber Vigilant includes automated report generation to support decision-making, enhance accountability and ensure compliance with organizational policies. |
84 | 6845 | Nanosensor | IndustryInnovationAndInfrastructure | Detection of chemical compounds has always been a significant concern since it covers a wide range of areas ranging from environmental control to clinical diagnosis. With the advancement of nanotechnology, using carbon nano-materials in the sensing field has improved the sensors' signal response. The standard analytical techniques were used to characterize the as-prepared materials (pristine and nanocomposites). Here, we synthesized composites of MoS2 and CuPc of different ratios 1:0.5, 1:1, and 1:2. Cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS), and differential pulse voltammetry (DPV) were used to characterize and evaluate the performance of the prepared nanosensors. The characteristics of the as-prepared nanosensors, like accuracy, reproducibility, repeatability, selectivity, linear range, the limit of detection (LoD), the limit of quantification (LoQ), and sensitivity, were also evaluated. The linear range for composite ratio 1:0.5 was 1uM-1000uM with CV and 1uM-800uM DPV. The LoD, LoQ, and sensitivity with CV were 6.51uM, 21.71uM, and 0.155 uA uM-1 cm-2, respectively, and with DPV, 5.2uM, 17uM, and 0.11 uA uM-1 cm-2, respectively. But here, MoS2 as a pristine compound gave more electrochemical response towards dopamine sensing. The linear range was 1uM-1000uM for both CV and DPV. The LoD, LoQ, and sensitivity with CV for MoS2 are 15.7uM, 52.5uM, and 0.181 uA uM-1 cm-2, respectively, and with DPV was 0.42uM, 1.42uM, and 0.067 uA uM-1 cm-2 respectively. |
85 | 6846 | Titan Spark | AffordableAndCleanEnergy | The rising global demand for sustainable and efficient energy storage solutions has driven the advancement of supercapacitor technologies. Our project, Power Boost, focuses on the development of a novel hybrid composite material combining mixed metal oxides with MXene and TiO₂. This material is designed to enhance both electrochemical double-layer capacitance (EDLC) and pseudocapacitance, addressing limitations in energy density and cycling stability associated with conventional supercapacitors. The synthesis was carried out using the hydrothermal method, chosen for its ability to produce homogeneous and high-purity materials. The structural and morphological properties of the hybrid composite were characterized through X-ray Diffraction (XRD), Raman Spectroscopy, Fourier Transform Infrared Spectroscopy (FTIR), and Scanning Electron Microscopy (SEM). These techniques confirmed the successful integration of MXene and TiO₂ into the MMO framework, as well as the material's crystalline structure and functional group interactions. Electrochemical evaluations, including cyclic voltammetry (CV), galvanostatic charge-discharge (GCD), and electrochemical impedance spectroscopy (EIS), were performed to assess the material's performance. The hybrid composite demonstrated significantly enhanced specific capacitance, charge-storage capacity, and cyclic stability. The results highlight the synergistic effects of MXene’s high conductivity, TiO₂’s pseudocapacitive behavior, and MMOs’ structural versatility, collectively improving ion transport, surface area, and charge transfer mechanisms. In future work, computational techniques such as Density Functional Theory (DFT) and Molecular Dynamics (MD) simulations will be employed to further explore the material's electronic structure, charge distribution, and ion diffusion pathways. These computational insights will guide the optimization of material composition and morphology for enhanced performance. Additionally, efforts will focus on scaling up the synthesis process and integrating the composite material into commercially viable supercapacitor systems. The project contributes to addressing the global energy challenge by offering a high-performance, cost-effective, and environmentally friendly solution for energy storage applications. |
86 | 6847 | CyberSentinel | IndustryInnovationAndInfrastructure | Cyber Sentinel is an independent system designed to integrate open-source tools and scripts for real-time vulnerability scanning and scoring of web applications. Built with Laravel and integrating OWASP ZAP for vulnerability detection, it provides an interactive platform for real-time risk assessment. This system functions as a standalone platform without reliance on external systems for its core functionalities. |
87 | 6848 | DAS online system | GoodHealthAndWellBeing | The Depression, Anxiety, and Stress (DAS) Online System is a comprehensive digital platform aimed at assessing, monitoring, and addressing mental health challenges. The system is designed to provide users with an accessible and confidential means to evaluate their psychological well-being using standardized diagnostic tools, such as the DAS-21 scale. By leveraging an intuitive interface and secure data management protocols, the platform facilitates early detection of mental health issues and offers personalized recommendations, including coping strategies and referrals to professional resources. The system's core functionalities include an interactive self-assessment module, progress tracking, and integration with mental health resources like therapy services or helplines. Designed to cater to diverse user needs, the DAS Online System is scalable, customizable, and accessible via multiple devices, ensuring widespread usability. This project addresses the growing prevalence of mental health challenges and seeks to promote psychological well-being through proactive, tech-enabled solutions. |
88 | 6849 | Nescom | NoPoverty | Automated underwater vehicles (AUVs) are widely used for scientific, commercial, and military underwater applications, some of which require accurate positioning and path control. Modeling, system identification, and control of these vehicles are still primary areas of research and development. 10. Conclusion Autonomous underwater vehicles are propelling us into a new era of exploration and understanding of the underwater world. With advancements insensing capabilities, artificial intelligence, extended mission durations, and swarm technology, AUVs are transforming how we explore, research, and exploit the ocean's resources. However, challenges such as deep-sea exploration, data management, and ethical considerations must be addressed to fully unleash the potential of these remarkable machines. By embracing these challenges head-on and fostering collaboration between researchers, industry leaders, and policymakers, we can pave the way for a future where AUVs play a crucial role in ocean exploration, environmental monitoring, and sustainable resource management. Let us seize the opportunities presented by autonomous underwater vehicles and embark on a journey towards a deeper understanding of our planet's most mysterious frontier. |
89 | 6850 | Cricket Bowling Machine | IndustryInnovationAndInfrastructure | The Intelligent Cricket Bowling Machine is an innovative solution designed to enhance cricket training by simulating real-world bowling conditions. This advanced system offers precise control over speed, spin, direction, and trajectory, catering to the diverse needs of players. The machine incorporates electro mechanical principles for customizable and consistent ball deliveries. It supports various bowling styles, including spin, pace, and swing, enabling players to develop and refine their skills. It also allows the batsman to play maximum 18 balls within a single go means a single person easily use for himself as well. |
90 | 6851 | CMS(Campus Management System) | PeaceJusticeAndStrongInstitutions | Abstract (CMS - Campus Management System): The Campus Management System (CMS) is an innovative software solution designed to streamline and automate the administrative, academic, and operational processes of educational institutions. It integrates features such as student and faculty management, course scheduling, attendance tracking, academic performance monitoring, fee payment, notifications, and analytics. The CMS offers a user-friendly interface accessible through web and mobile platforms, ensuring seamless interaction for students, faculty, and administrators. With advanced security, efficient database management, and integration capabilities, the system aims to enhance productivity, improve decision-making, and provide a unified platform for managing campus activities effectively. |
91 | 6852 | SMART AUTOMOTIVE SOLAR BIKE | AffordableAndCleanEnergy | Design and build a motorbike powered by solar energy, reducing carbon emissions and promoting sustainable transportation. Lightweight, flexible solar panels can be installed on the bike, particularly on areas with high exposure, like the sides, fenders, or even a canopy over the seat. These panels will collect sunlight and convert it to electricity. Since solar energy varies throughout the day and isn't available at night, a high-capacity lithium-ion battery is essential. This battery will store the energy captured by the solar panels for later use, ensuring continuous power for the motorbike. And other feature include a high-capacity lithium-ion or solid-state battery would store the solar energy, allowing the motorbike to operate when sunlight is unavailable. The battery is crucial for maintaining continuous power, especially at night or during cloudy weather. A receiver coil built into the motorbike’s frame would pick up the energy from the pad. When the bike is parked on the pad, electromagnetic fields transfer energy from the charging pad to the receiver, replenishing the battery. A BMS would regulate charging and discharging of the battery, preventing overcharging, which could damage the battery and decrease efficiency. This system could convert kinetic energy back into electrical energy during braking, helping to recharge the battery and extend the range of the bike. This feature informs the rider about the available battery level and the range it can support, taking into account the solar energy input and driving style. This device manages the flow of energy from the solar panels to the battery. It prevents overcharging and maximizes energy conversion, especially important on cloudy days when sunlight is minimal. |
92 | 6854 | Skin Check | GoodHealthAndWellBeing | A web-based AI platform for early skin cancer detection. Users upload images of skin lesions, and the system provides an instant AI-driven analysis to identify potential risks. This affordable and accessible platform aims to make early detection available to all. |
93 | 6856 | ID Raptor | Other | In today’s complex security landscape, the need for precise and efficient methods of identifying and tracking individuals during critical operations is paramount. Traditional practices often rely on manual intervention, which can be time-consuming, error-prone, and pose significant risks to personnel, particularly in high-risk scenarios. In response to these challenges, SkySentry offers a groundbreaking solution: a drone-based system equipped with advanced image-based identification technology. SkySentry leverages cutting-edge computer vision, real-time data transmission, and facial recognition to revolutionize security operations. The system combines sophisticated navigation and detection capabilities to identify and track individuals from a safe distance. Operators can access live feeds on a ground station, enabling seamless decision-making and rapid response to potential threats. By automating identification and data relay, SkySentry significantly reduces the risk of human error and enhances situational awareness in time-sensitive environments. Designed with safety and operational efficiency in mind, SkySentry aims to enhance the accuracy of image-based identification while minimizing the potential for misidentification. Its state-of-the-art technology ensures the protection of both law enforcement personnel and civilians by allowing remote monitoring and targeted actions. This capability is especially critical in high-stakes environments, such as hostage situations, border security, and urban surveillance. The drone is powered by a robust hardware suite, including brushless motors, ESCs, and a high-resolution camera integrated with facial recognition algorithms. With features such as real-time tracking and automated data processing, the system ensures secure, accurate, and efficient surveillance. SkySentry is designed to adhere to sustainable development goals, emphasizing safe infrastructure and smart technology applications. The project’s broader vision includes enhancing user training and integrating the drone seamlessly into existing security frameworks. Operators are equipped with the skills to maximize the drone's functionality, ensuring effective deployment in diverse operational contexts. SkySentry not only optimizes the accuracy of security measures but also aligns with ethical considerations, ensuring responsible use of advanced technology in public safety domains. In conclusion, SkySentry is a transformative step towards a safer future, where technology and innovation converge to protect lives and uphold security. By offering precision in action, it redefines the standards of security operations and sets a new benchmark in image-based identification systems. |
94 | 6857 | SkinCancerDetection | Other | A skin cancer detection system using AI to analyze skin images for early detection of malignant melanoma and other types of skin cancer. Accessible via a web app, the solution ensures cost-effective, quick, and reliable screenings, helping save lives and reduce healthcare costs. |
95 | 6858 | Chest Guard detection Using AI and deep learning | GoodHealthAndWellBeing | Chest Guard is a web-based platform powered by AI and deep learning to detect pneumonia and tuberculosis from chest X-rays. It aims to raise public awareness and provide early disease detection in a user-friendly manner. The platform offers educational resources, instant results, and access to healthcare providers, empowering individuals to take proactive steps toward lung health. |
96 | 6859 | Derma Sight (AI Powered Skin Disease Scanner and Diagnostic Tool) | GoodHealthAndWellBeing | Skin health is a critical aspect of overall well-being, yet access to timely and specialized dermatological care remains a challenge. **Derma Sight**, an AI-powered skin disease scanner and diagnostic tool, addresses this issue by offering improved accessibility, cost-effectiveness, and timely diagnosis. Utilizing advanced machine learning and image processing, the application enables early detection of skin conditions, empowering users with convenience and personalized care recommendations tailored to their needs. Derma Sight also integrates expert support for seamless consultation with dermatologists, fostering trust and accuracy. Designed for scalability, it can adapt to various demographics and regions, ensuring its impact reaches a global audience. This innovative solution aims to revolutionize dermatological care, improving skin health outcomes for individuals worldwide. |
97 | 6860 | TERRA HAWK | IndustryInnovationAndInfrastructure | The increasing need for efficient surveying methods underscores the limitations of traditional techniques in accessibility, accuracy, and time efficiency. A transformable robot that can switch between aerial and ground modes offers a solution by enabling seamless, real-time data collection. This innovation could be particularly beneficial for agriculture, allowing farmers to monitor essential parameters like soil moisture, crop health, and pest activity. By reaching difficult terrains and offering both broad aerial perspectives and detailed ground-level insights, such a robot would optimize agricultural practices and resource management. |
98 | 6861 | Helmet Enforcement | SustainableCitiesAndCommunities | This project introduces an automated helmet detection system tailored for two-wheeler riders in Pakistan, utilizing the advanced YOLOv8 algorithm to enhance road safety. By leveraging the Ultralytics YOLO framework, the system is trained on a meticulously labeled dataset created using LabelImg. It integrates Convolutional Neural Networks (CNNs) and Neural Network (NN) architectures, delivering improved accuracy and efficiency compared to earlier models. The system is under continuous development to refine detection accuracy and bounding box precision, showcasing its potential to contribute significantly to reducing road accidents and promoting safety compliance in Pakistan. |
99 | 6864 | Health Monitoring | NoPoverty | The Remote Health Monitoring System (RHMS) is a cutting-edge, patient-centered technology designed to remotely track and manage patients' health status in real-time. This innovative system utilizes wearable sensors, mobile applications, and cloud-based infrastructure to continuously monitor vital signs, physiological parameters, and health indicators. RHMS enables healthcare providers to remotely track patients' health data, detect potential health anomalies, real time heath, remote patient, early disease detection, emergency alert, mental health, and intervene promptly to prevent complications. The system integrates advanced analytics, machine learning algorithms, and secure data transmission protocols to ensure accurate, reliable, and confidential health monitoring. This abstract provides a concise overview of the Remote Health Monitoring System's features, benefits, and applications. Feel free to modify it according to your specific needs and research focus! |
100 | 6865 | BETS | GoodHealthAndWellBeing | Disabilities like Motor Neurone Disease (MND) cause people to be unable to move or speak, therefore creating a barrier in their communication. Therefore, people like this are unable to communicate even when they’re in danger, putting their lives on the line. Therefore, the chip (installed in the cameras) will monitor the eyes for Morse Code and provide help. With this solution, people with similar diseases will be able to communicate and ask for help especially when they’re in danger. |
101 | 6866 | SAIM | ResponsibleConsumptionAnd Production | An Integrated Internet of Things-derived weather and Soil Data Monitoring system to improve the quality of a drip irrigation system as well as the health of soils. This current invention is solely built on the concept of integrated ecosystem in Internet of Things wherein the data collected in terms of weather is assimilated with soil moisture sensors and automated drip irrigation system. The optimum levels for bringing forth the growth of crops cover aspects covering soil moisture, nutrients and temperature for the plant. Water will thus be given to plants according to control by predictive analytics and real time environment. |
102 | 6867 | Legal Advisory and Assistance Using AI | PeaceJusticeAndStrongInstitutions | This project presents a hybrid legal advisory system that combines AI-powered large language models (LLMs) with human legal expertise to enhance the accessibility and efficiency of legal services. The system automates query resolution, document analysis, and response generation while incorporating real-time consultation with qualified lawyers for critical oversight. By streamlining routine legal tasks and ensuring reliable human intervention, this platform aims to make legal assistance more affordable, accurate, and widely accessible, bridging the gap between technology and traditional legal practices. |
103 | 6868 | Radixpert | IndustryInnovationAndInfrastructure | The Radixpert project is designed to streamline radiology workflows by enhancing diagnostic accuracy, reducing administrative burdens, and improving patient interaction With doctor. The platform features two core modules: an advanced diagnostic module that leverages large language models to analyze medical imaging (X-rays, MRIs, CT scans) and an administrative automation module for handling tasks such as EHR filling, transcription of doctor-patient interactions, and report generation. |
104 | 6869 | ERP Software | IndustryInnovationAndInfrastructure | In today's fast-paced business environment, organizations need efficient management systems to handle various operations seamlessly. This project aims to create a SaaS-based ERP system using Laravel PHP, which will encompass multiple modules such as Project Management, Work/Task Management, CRM, Accounting & Finance, Products and Services, Training Management, Ticket Management, Marketing Campaign System, HR Management, Contracts Management, IT Management, User Management, Integrations, Settings, and Additional Features. The system will provide functionalities ranging from project creation and resource allocation to lead management and financial tracking, ultimately enhancing overall business operations. |
105 | 6870 | So-Wing | IndustryInnovationAndInfrastructure | In the realm of technology, we are focused on accentuating creative idea of “how we can maximize the utilization of renewable energy.” Our main focus is to change the vision into plan by realistic approach of how solar integrated buildings will allow magical transformation of sunrays into electricity; via highly solar plated oriented windows will serve as frontline hero. Gone through days of glass windows, solar plated windows would be the new discovery across the globe, user friendly in approach and using sunlight as a survival kit in era of 21st century. Hybridization of civil engineering with electrical engineering concepts, where grandeur buildings will present themselves as the epitome of self-generation of electric power. |
106 | 6871 | Home Automation Using BCI and Raspberry pi | IndustryInnovationAndInfrastructure | This project introduces a Brain-Computer Interface (BCI)-based home automation system that allows users to control devices such as lights, fans, and thermostats using brain signals. The system uses an EEG headset to capture brainwaves, with a Raspberry Pi processing the signals to activate home appliances. Designed for individuals with mobility impairments, it promotes greater independence, energy efficiency, and accessibility in smart homes. It’s cost-effective and easy to set up. |
107 | 6872 | Eco-Stride | AffordableAndCleanEnergy | This project leverages piezoelectric technology to create an innovative energy-harvesting solution integrated into footwear. These smart shoes generate and store electricity as the user walks, utilizing kinetic energy from footfalls. The stored energy can be transferred to a specialized home platform designed to channel the electricity into powering household devices. This system offers a sustainable and portable energy source, promoting eco-friendly living and reducing dependence on traditional power grids. By integrating cutting-edge materials and ergonomic design, the project aims to provide a seamless and practical approach to renewable energy generation in everyday life. |
108 | 6873 | Parametrized RISC-V | IndustryInnovationAndInfrastructure | This project focuses on the design and implementation of a parameterized serial RISC-V processor, optimized for minimal resource usage and high configurability. By reimplementing a SERV-like structure, the processor achieves efficient computation using a serialized architecture, making it ideal for resource-constrained environments such as IoT devices and embedded systems. The design is initially developed and verified on FPGA platforms (ArtyZ7/CoraZ7) and later scaled using open-source tools like OpenLane for physical implementation. This approach ensures a flexible and scalable solution, promoting the adoption of open-source hardware methodologies while addressing the growing demand for compact and energy-efficient processors. |
109 | 6874 | VIVD | NoPoverty | Abstract Vigilance, Interlinked, and Visualized: A Novel Approach to Person Identification and Tracking** The Vigilant Inter-Video Detection (VIVD) system introduces a groundbreaking approach to person identification and tracking across video sequences. By seamlessly integrating advanced computer vision techniques with natural language processing, VIVD offers a robust and efficient solution to real-world challenges. The core functionalities of VIVD include: 1. Real-time Person Identification: The system accurately detects and tracks individuals across video frames, even in challenging conditions like varying lighting, occlusion, and camera viewpoint changes. 2. Voice-Controlled Sketch Generation: Users can generate detailed sketches of target persons using simple voice commands, enabling efficient and intuitive interaction. 3. Robustness and Scalability: VIVD is designed to handle large-scale video datasets and operate in real-time, making it suitable for various applications. By combining the power of deep learning and natural language processing, VIVD pushes the boundaries of person identification and tracking. This innovative system has the potential to revolutionize fields such as surveillance, security, and law enforcement. |
110 | 6875 | ChemBotics | IndustryInnovationAndInfrastructure | This project presents a 5-DOF robotic arm designed for the chemical industry to revolutionize the process of mixing chemicals. By combining advanced mechanical design and artificial intelligence (AI), the robotic arm offers precision, efficiency, and safety. The system is specifically tailored to handle delicate and repetitive chemical mixing tasks with exceptional accuracy, reducing human error and exposure to hazardous materials. The robotic arm is equipped with AI algorithms that enable intelligent decision-making and adaptive operations based on real-time data. It uses sensors to monitor parameters like temperature, viscosity, and mixing speed, ensuring consistent results every time. This capability allows the arm to adjust its movements automatically for optimized performance, even in complex scenarios. The design focuses on ease of use, making it ideal for chemical engineers and operators. The robotic arm features a user-friendly interface, requiring minimal technical knowledge to operate. It can be integrated seamlessly into existing industrial setups, enhancing productivity without significant changes to workflows. In addition to its functionality, the arm is cost-effective and energy-efficient, promoting sustainable practices in the chemical industry. Its versatile application extends beyond mixing to tasks like dispensing, stirring, and precise handling of chemical components. This project demonstrates how automation and AI can transform traditional chemical processes, prioritizing safety, consistency, and innovation. It paves the way for smarter, more efficient solutions in industrial automation, inspiring further advancements in the field. In summary, this robotic arm is a game-changer for the chemical industry, combining cutting-edge technology with practical design to deliver smarter, safer, and more reliable chemical mixing. |
111 | 6876 | IlmPro | QualityEducation | IlmPro is a digital platform designed for Islamic education, specifically tailored to bridge the gap between teachers (Qaris), students, and parents within the madarsa ecosystem. It enables real-time communication, course management, and progress tracking in an accessible mobile app format. Integrating AI for live translation, IlmPro extends accessibility beyond linguistic boundaries, connecting madarsa communities worldwide. By digitalizing the traditional madarsa structure, IlmPro aspires to make religious learning convenient, modern, and adaptable for all participants, fostering a supportive environment for both in- person and remote engagement. Although initially developed as a Final Year Project, IlmPro is designed as a fully market-ready product, recognizing a significant market gap in the digital madarsa space and addressing the urgent need for a comprehensive Islamic education platform. |
112 | 6877 | Multivendor Drop shipping | NoPoverty | A multivendor dropshipping website facilitates seamless online retail by enabling multiple sellers to list and sell products without holding inventory. The platform streamlines vendor management, order processing, and customer transactions, providing a scalable and efficient e-commerce solution. |
113 | 6878 | Spiral Coatings | IndustryInnovationAndInfrastructure | This project presents an industrial machine for painting spiral patterns on scaffolding pipes, ensuring efficient and durable coatings while reducing labor costs and paint waste. Unique markings along the 6-meter pipes facilitate identification when cut to various sizes. The machine uses roller mechanisms, with drive rollers translating the pipe and rotational rollers spinning it simultaneously. A stationary spray nozzle applies paint, achieving precise and uniform markings. This automated solution enhances productivity, accuracy, and cost-effectiveness in industrial operations. |
114 | 6879 | Smart glasses | ReducingInequality | my idea is to promote more inclusive environment for differently abled students who thrive to seek knowledge. they should also be exposed to benefits from same opportunities as normal students. These revolutionary glasses combine style, innovation, and inclusivity to provide an unparalleled user experience. |
115 | 6881 | Automated Reconnaissance | Other | Automated Reconnaissance tool is a GUI-based automated reconnaissance platform using OSINT tools to gather and present actionable intelligence. Designed for law enforcement and organizations, it enables efficient data collection from social media, public records, and the dark web, ensuring real-time insights. By reducing manual effort, it enhances investigations, privacy, and compliance. |
116 | 6882 | Digital Therapist | GoodHealthAndWellBeing | This app is designed to support users in tracking and improving their overall well-being through a combination of personalized tools and professional guidance. It begins with a mental health assessment to evaluate users’ emotional states, recommending therapists for critical cases and directing others to features like mood tracking, a gratitude journal, and guided wellness exercises. Users can also access spiritual support through a curated collection of comforting Quranic verses. Wellness reminders are sent through notifications to encourage users to stay engaged in their mental health journey. The app's combination of practical tools, spiritual guidance, and professional support creates a holistic approach to mental health, empowering individuals to take proactive steps toward building a healthier, more balanced lifestyle. With its personalized features and ongoing engagement, the app aims to promote long-term mental well-being and resilience. |
117 | 6883 | Landslide Prediction system | SustainableCitiesAndCommunities | We are developing a landslide prediction system for roads and highways so that safety of passengers is not compromised and scheduling of road closure can be predicted well in time |
118 | 6884 | AI Enhanced Remote Health Monitoring System | GoodHealthAndWellBeing | The project presents an AI-enhanced health monitoring system that leverages advanced machine learning techniques and cloud integration to provide real-time health insights. The system collects data from wearable sensors and medical devices, processes it using multi-head attention-based neural networks for dynamic feature extraction, and utilizes contrastive pre-training to ensure robust and consistent patient embeddings. These embeddings enable accurate anomaly detection and personalized health recommendations. Cloud integration facilitates seamless data storage, sharing, and remote access for healthcare professionals, enhancing patient monitoring and decision-making. The proposed system demonstrates scalability, adaptability, and potential to improve preventive healthcare and chronic disease management through intelligent analysis and actionable insights. |
119 | 6885 | Progen AI | IndustryInnovationAndInfrastructure | Social media platforms are hubs of creativity, yet many users face barriers like the complexity of content creation tools and steep learning curves. Our project addresses these challenges by developing an all-in-one generative AI platform that simplifies content creation, making it accessible for everyone. By leveraging cutting-edge technologies, we empower users to generate hyper-realistic images, voices, and stories seamlessly. This project bridges the gap between advanced AI technologies and user-friendly interfaces, transforming how individuals create and share content on social media. Platform has the potential of becoming a leading social media site for creation and sharing of AI generated content. |
120 | 6886 | BIDIRECTIONAL VORTEX | IndustryInnovationAndInfrastructure | Bi-directional vortex rocket motors (BDVRMs) have emerged as a promising innovation in rocket propulsion systems due to their potential to enhance combustion efficiency and mitigate thermal stresses on combustion chamber walls. In BDVRMs, tangential injection of oxidizer at the base generates bidirectional vortices, where larger outer vortices carry oxidizer upward to interact with the fuel, initiating combustion. The resulting smaller inner vortices transport the fuel-oxidizer mixture downward. This configuration creates a thermal blanket of oxidizer around the combustion core, reducing heat transfer to the chamber walls, thereby decreasing cooling requirements and enabling the use of lower-cost materials. Additionally, these vortices increase fuel residence time, turbulence, and mixing efficiency, significantly improving overall combustion performance. This survey explores state-of-the-art computational and experimental research on BDVRMs, focusing on heat transfer modeling and wall temperature mitigation techniques. Computational Fluid Dynamics (CFD) models are highlighted for their ability to simulate flow fields and temperature distributions, while experimental studies provide critical validation and insights into heat flux and thermal shielding effectiveness. The review identifies existing challenges, including the need for more accurate models and advanced thermal protection systems, and proposes directions for future research. By consolidating current knowledge, this work aims to support the development of more efficient and reliable BDVRMs, revolutionizing rocket propulsion systems. |
121 | 6887 | environmental monetoring | ClimateAction | The implementation of unmanned aerial vehicles (UAVs) equipped with sophisticated environmental monitoring instruments has revolutionized the accuracy and effectiveness of ecological and atmospheric research. Conventional methods employed in the study of the environment such as ground-based fixed stations and satellite pictures have been limited in terms of area covered, immediate response, or even cost of operation. Drones fitted with different kinds of sensors address these limitations by providing scalable, agile, flexible, and high-density data acquisition capabilities. This report reviews the methods of design and principles of integrating environmental monitoring payload systems with a closer look at related elements such as gas monitoring, particulate sensors, thermal cameras, and LiDAR systems. The document highlights how through the adoption of many sensors and fusions, there will be real-time data processing that will help in faster decision making and more precise evaluations of environmental and atmospheric conditions. The paper also undertakes a number of case studies on the domestic contexts and presents the application of these systems for air quality mapping, plant health, wildlife management, and management of emergency situations, among other aspects. The sensitivity of the use of UAVs for air pollution assessment within the urban context, response to bushfire occurrences, or even monitoring of animal migration exhibits their flexibility to different applications. Nonetheless, though advantages are apparent, UAV payload systems are associated with energy inefficiency, sensor unreliability, and legal issues, among others. The survey presents the developments of autonomous UAVs, operation in all weather, and swarm technologies, and their relevance regarding the operational limits of UAV systems. |
122 | 6888 | Employment of CFD and Wind Tunnel Testing for Flight Dynamic Modelling of High Speed Projectile | LifeOnLand | This project revolutionizes the field of high-speed projectiles, such as missiles, by offering a robust foundation for their design and optimization across subsonic to supersonic regimes. This paper presents a computational study of a 4-DOF flight dynamic model, completely describing projectile’s flight trajectory. Intricate CAD models of full-scale and 1/3 scaled-down geometries, including movable forward fins and fixed rear fins configurations have been made. These models are then subjected to rigorous CFD simulations, analysing their aerodynamic behaviour across a wide range of angles of attack and supersonic Mach numbers. Experimental validation of scaled down model through results of wind tunnel tests allows us to refine our computational models, ensuring accuracy in the required results. |
123 | 6889 | Composite Repair | IndustryInnovationAndInfrastructure | The aim is to develop repair schemes through different methods for sandwich composite structure of a UAV. Tensile and impact testing will be carried out to measure the efficacy of repair scheme employed. Prior to repair, the damaged structure will be tested for determination of damage type. |
124 | 6890 | Automated Quantity takeoff | IndustryInnovationAndInfrastructure | Accurate extraction of road layer quantity takeoff is crucial in road construction to ensure the structural integrity and longevity of new roads. Traditional methods of quantity takeoff, which usually involve manual processes, are time-consuming and prone to human error, leading to potential delays and manipulations in the construction process. This thesis proposes an innovative solution to address these challenges by integrating a YOLO detection model working on the drone imagery to automate the quantity takeoff process of road layers. The system integrates the detection model and quantity takeoff of each layer and presents the data through a user-friendly interface. The proposed model enhances precision by accurately detecting layer boundaries and areas, while strong security mechanisms ensure the integrity and accuracy of the data. Additionally, the system enables real-time monitoring of construction progress, allowing for quicker and more accurate measurements of materials such as asphalt. This approach represents a significant advancement in the monitoring and execution of road construction projects, providing more precision and efficiency compared to traditional methods. |
125 | 6891 | Employment of Wind Tunnel Testing for Flight Dynamic Modelling of High Speed Projectile | PeaceJusticeAndStrongInstitutions | This project explores the application of Wind Tunnel Testing in the flight dynamic modelling of high-speed projectiles. The study aims to develop a comprehensive flight dynamic model by integrating CFD simulations with empirical data obtained from subsonic wind tunnel experiments. The research focuses on enhancing the accuracy, range, and stability of high-speed projectiles, which are crucial for military applications. The results are obtained at different speed and Angle of Attacks. The findings of this survey are expected to contribute to the development of more efficient and reliable defense systems, addressing national security needs. The high-speed projectile model will be developed using Computer Aided Designing (CAD) or SolidWorks and fabrication of the model will be done using wood(sheesham) or Aluminum or 3D printing. Subsonic Wind Tunnel is used for testing the projectile and obtaining static stability derivative. The dynamics derivatives are obtained from MISDAT software. Static stability derivatives and dynamics stability derivatives are combined to propose dynamic flight model of the aircraft. |
126 | 6893 | My Daily Diary | GoodHealthAndWellBeing | "My Daily Diary" is a secure and customizable mobile journaling app, offering password protection, multimedia support, mood tracking, and cloud backups. Its unique features include social media sharing, special event tracking, and multi-language support, ensuring privacy, accessibility, and an enhanced journaling experience. |
127 | 6894 | Guster control drone | IndustryInnovationAndInfrastructure | This project introduces a gesture-controlled drone, where a custom-built gesture recognition device translates hand movements into commands for drone navigation. Using sensors like accelerometers and gyroscopes, the device ensures accurate motion detection. The goal is to enhance drone usability for applications like rescue missions, surveillance, and more. |
128 | 6896 | Aura Naturals | IndustryInnovationAndInfrastructure | Pakistan produces over 1.8 million tons of mangoes annually, resulting in approximately 720,000 tons of waste, primarily from mango seeds and skins. This agro-waste contributes significantly to environmental degradation, with minimal reuse or recycling options available. Aura Naturals provide an innovative solution by extracting bioactive compounds from mango seed kernels to create high-efficacy, sustainable skincare products. These products reduce agro-waste by 50%, significantly decreasing carbon emissions associated with traditional waste disposal methods, aligning with Pakistan’s climate resilience goals. To validate the efficacy of these bioactive compounds, we have employed advanced computational docking techniques, screening 11,000 ligands derived from various under-explored plants. This approach ensures the compounds' effectiveness by analyzing their interaction with six major skin proteins, confirming their potential to treat common skin conditions like acne, hyperpigmentation, and premature aging. In addition to addressing Pakistan’s pressing waste management challenges, Aura Naturals utilize revolutionary manufacturing process of bio-fermentation, which has been proven scientifically but not used by majority of the skincare companies yet, for efficient bioactive extraction from mango seeds, producing more potent skincare ingredients. The waterless formulation and sustainable packaging further reduce the environmental impact, emphasizing the project's commitment to sustainability at every stage of the product lifecycle. Aura Naturals stand at the intersection of sustainability and biotechnology. The scalable production process is designed to meet the growing demand for eco-friendly skincare solutions. By using mango seed waste as a raw material, we provide a sustainable income source for rural farmers, empowering local communities and promoting economic development. Aura Naturals will initially offer a range of skincare products, including anti-aging serums, brightening creams, and hydrating face oils, all formulated with bioactive compounds extracted from mango seed waste. These products are designed to treat common skin concerns such as acne, hyperpigmentation, and premature aging, ensuring that MangoGlow provides a holistic skincare solution With the global organic skincare market expected to reach $22 billion by 2024, Aura Naturals is strategically positioned to capture a first-mover advantage. The project’s innovative approach is also protected by a patent-pending technology, ensuring exclusivity in the marketplace. Aura Naturals will reduce agro-waste by 50% and preventing over 200,000 tons of carbon emissions annually. This positions the project as a key contributor to Pakistan’s sustainability and climate resilience efforts. By offering a science-backed, commercially viable, and scalable solution, Aura Naturals is poised for mass deployment in both local and international markets providing provides a unique, eco-friendly skincare solution. |
129 | 6897 | EV Powertrain | AffordableAndCleanEnergy | This project develops a 5 kW IPM motor for EV powertrains, targeting above 90% efficiency, 1980 rpm, and 400V operation. Using N52 magnets and silicon steel, it aims to deliver high power density (1.5 kW/kg) with minimal losses. The design enhances EV efficiency, reduces costs, and supports sustainability goals by cutting CO2 emissions. |
130 | 6898 | Smart Shopping trolley | IndustryInnovationAndInfrastructure | Smart Shopping Trolley is an innovative solution that streamlines the shopping experience, making it more efficient and enjoyable for customers. |
131 | 6899 | DESIGN AND OPERATION OF REMOTE CONTROLLED LIFE SAVING BUOY | IndustryInnovationAndInfrastructure | **Abstract** The "Design and Operation of Remote Controlled Lifebuoy" project addresses the critical need for rapid and effective rescue solutions in man-overboard situations, particularly for naval and maritime applications. Traditional rescue methods often face challenges, such as delayed response times and human limitations in rough seas or adverse weather conditions. This innovative system provides a remotely operated lifebuoy capable of navigating directly to the person in distress, significantly reducing rescue time and enhancing operational efficiency. The lifebuoy system integrates a robust propulsion mechanism, wireless control technology, and durable materials to ensure reliability and ease of operation in harsh maritime environments. The operator can remotely control the device using a handheld transmitter, guiding it with precision even in turbulent waters. Equipped with high-visibility features, such as bright LED lights and reflective materials, the lifebuoy remains easily trackable during low visibility conditions, ensuring its utility in day or night operations. The design prioritizes portability, lightweight construction, and simplicity to facilitate seamless deployment from ships or coastal areas. Advanced safety measures, such as automated alerts upon reaching the victim, ensure a secure and stable rescue process. Field testing has demonstrated the system’s ability to cover significant distances swiftly, maintain buoyancy under load, and operate reliably in diverse sea states. This project offers a significant leap forward in maritime safety technology, particularly for military, commercial, and recreational vessels. By reducing reliance on manual intervention and enhancing rescue efficiency, the remote-controlled lifebuoy aligns with the global emphasis on improving safety at sea. Its adoption can not only save lives but also inspire advancements in maritime rescue technology. |
132 | 6900 | Eyewear Solutions | GoodHealthAndWellBeing | Paralysis, often resulting from conditions such as strokes, imposes severe limitations on individuals, particularly in communication and social interaction. With the prevalence of paralysis steadily increasing worldwide, innovative assistive technologies are essential to improve the quality of life for affected individuals. Our project, Vision Beyond Boundaries, aims to develop cutting-edge eyewear solutions designed specifically for paralyzed individuals. This smart eyewear integrates advanced technologies, including video processing, machine learning, and wearable hardware, to bridge the communication gap and enhance independence. The proposed device features a translucent display, IR camera, Raspberry Pi 4, and an ergonomic VR body. These components enable eye-tracking, gesture recognition, and object detection, converting visual cues into text or audio messages via a built-in speaker. Tailored algorithms, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs), facilitate seamless communication by translating eye movements and facial expressions into meaningful interactions. The user interface is designed to be intuitive, ensuring accessibility for individuals with severe motor impairments. In Pakistan, where access to assistive technologies is limited, this project addresses critical challenges such as communication barriers, limited independence, and social isolation faced by paralyzed individuals. By employing cost-effective solutions and culturally sensitive designs, our project aims to deliver an affordable and impactful technology to underserved populations. Additionally, global applications of this technology promise to redefine accessibility and foster inclusivity for people with disabilities. The innovation extends beyond basic assistive tools, offering augmented reality (AR) features to enhance user engagement. With a focus on sustainability and scalability, our project aligns with global Sustainable Development Goals, particularly those promoting health, well-being, and reduced inequalities. Through the development of these smart glasses, we aspire to transform the lives of paralyzed individuals, enabling them to communicate effectively, participate in social activities, and regain a sense of autonomy. By blending hardware innovation with intelligent software solutions, Vision Beyond Boundaries demonstrates the potential of assistive technology to empower marginalized communities and redefine standards for inclusivity in healthcare. |
133 | 6901 | Water Conservation Techniques to Mitigate Urban Flooding | SustainableCitiesAndCommunities | This study explores Stormwater Conservation (SWC) techniques to mitigate urban flooding in Pakistan, focusing on Low Impact Development (LID) strategies like permeable pavements, green roofs, and bio-retention systems. Using the SWMM model, the study evaluates these techniques in reducing runoff, peak flow, and enhancing groundwater recharge to address urban flood risk. |
134 | 6902 | LOITERING MUNITIONS | Other | Design development and wind tunnel testing of loitering munitions (LMs) involve multiple key stages to ensure their effectiveness, reliability, and safety during deployment. Loitering munitions are a type of aerial weapon system designed to loiter over a target area for an extended period before selecting and attacking a target. They combine attributes of both a drone and a guided missile. |
135 | 6903 | DigiVote | IndustryInnovationAndInfrastructure | The DigiVote offers a modern, secure, and efficient approach to managing elections, particularly in educational institutions, housing societies, and organizations. This centralized system allows voters to cast their votes from the convenience of their own computers, eliminating the need for traditional polling stations. To enhance security, the system integrates facial recognition technology, ensuring that only registered voters can access and use the platform. Once a voter’s identity is verified through facial recognition and a One-Time Password (OTP) sent to their registered email or phone, they can securely log in to cast their vote. The system stores all voter data and vote records in a centralized, encrypted database, providing a controlled and tamper-proof environment for election management. After casting their vote, voters receive a confirmation receipt via email, reinforcing trust and transparency. By combining advanced face recognition with a streamlined process, this system not only improves voter accessibility but also ensures accuracy in vote counting, reduces human error, and prevents voter fraud. The result is a cost-effective, highly secure, and trustworthy solution for conducting elections while maintaining transparency and reliability. |
136 | 6904 | Design And Fabrication of Pulse Detonation Engine | IndustryInnovationAndInfrastructure | This project is an advancement in the field of aerospace propulsion technology. Pulse detonation engines utilize constant volume heat addition process which give more power output and thrust as compared to the traditional engines. This project aims in the design and fabrication and then measuring the thrust perimeter of the PDE. PDEs have a bright future in the missile industry since a PDE can easily achieve roughly 4 mach number. |
137 | 6905 | NeuroSerenity | GoodHealthAndWellBeing | NeuroSerenity is designing an EEG sensor that can be integrated for stress detection and managment by monitoring the brain waves. The sensor is basic, compact, and inexpensive, providing an easy method to monitor mental health. It identifies stress without complicated procedures or applications, which enables users to address their stress levels right away. |
138 | 6906 | Adaptive ECC | IndustryInnovationAndInfrastructure | This project investigates the development and optimization of Engineered Cementitious Composites (ECC) for advanced structural applications. By analyzing the effects of supplementary cementitious materials (SCMs), and fibers, we aim to enhance ECC's strength, ductility, and sustainability. The study integrates experimental techniques and simulations to design ECC with superior mechanical performance and durability for real applications. |
139 | 6907 | Patient Meal Assistant (PMA) | IndustryInnovationAndInfrastructure | The Patient Meal Assistant (PMA) revolutionizes hospital meal delivery by combining autonomous navigation with a mechanism for precise tray placement within patients' reach. Utilizing LiDAR and computer vision, it ensures efficient, patient-specific care. By reducing caregiver dependency and integrating with hospital systems, PMA enhances efficiency, independence, and quality of hospital environment. |
140 | 6908 | TECHVETT | DecentWorkAndEconomicGrowth | TECHVETT is a portal-based system offering end-to-end testing and hiring solutions. Candidates select their domain (Network or SQA) and proficiency level (Basic, Intermediate, Advanced) before undergoing a multi-stage evaluation (MCQs, image analysis, and voice-based MCQs). Results and feedback are summarized for HR review, streamlining hiring decisions with precise skill verification. |
141 | 6910 | Adaptive PFC | AffordableAndCleanEnergy | The objective of this project is to design an adaptive power factor correction circuit which has the ability to control the power factor based on the electrical load. It improves the energy quality and efficiency, lowers the electricity expenses and bigger role in maintaining the balance of the power system. The proposed solution is inexpensive, intuitive, and can be easily incorporated into the current statewide electrical systems making it an easy to adopt innovation to the industrial and commercial value chain. |
142 | 6911 | Motion Generation | SustainableCitiesAndCommunities | This project focuses on developing generative AI-driven algorithms that enable humanoid robots to navigate obstacles more effectively and smoothly. By combining generative AI with language models, we are creating a system that allows robots to perform a continuous, fluid series of actions, adapt to dynamic environments, and execute natural language commands seamlessly, ensuring efficiency and safety. |
143 | 6912 | ShellSage | IndustryInnovationAndInfrastructure | The AI-powered Linux Assistant simplifies system management by leveraging natural language processing (NLP) to execute Linux commands efficiently. It ensures security, usability, and accessibility through an intuitive interface, robust safeguards, and compliance with privacy laws. Aligning with SDGs 4, and 9, it empowers users to enhance productivity and foster innovation. |
144 | 6914 | Cooling Paint | IndustryInnovationAndInfrastructure | Cooling paint is a cutting-edge technology designed to reduce surface temperatures by reflecting sunlight and radiating absorbed heat. Unlike traditional white paints, which reflect only about 80% of visible light and still absorb ultraviolet (UV) and near-infrared (near-IR) rays, cooling paints incorporate advanced materials that reflect nearly all solar radiation, including UV and near-IR. Additionally, these paints utilize polymers or substances that radiate excess heat as mid-infrared (mid-IR) light, which escapes directly into space without warming the surrounding air. By achieving high solar reflectance and thermal emissivity, cooling paints can lower surface temperatures by 10-15°C, improving thermal comfort, reducing energy demand for cooling, and cutting carbon emissions. Available in various durable and UV-resistant formulations, they are widely applicable across residential, commercial, and industrial settings. Cooling paint is a sustainable solution for mitigating urban heat islands, enhancing energy efficiency, and combating climate change. |
145 | 6915 | Steve-Ajwa Brownies | GoodHealthAndWellBeing | Introducing Ajwa Stevia Brownies, a revolutionary dessert that combines the natural sweetness of Ajwa dates and Stevia, eliminating refined sugar. Our innovative use of Ajwa pits reduces food waste, while the dates' high iron content helps combat anemia. This guilt-free treat caters to the growing demand for healthy, sustainable, and delicious food options. |
146 | 6916 | Verifact | PeaceJusticeAndStrongInstitutions | This project presents a robust Fake News Detection system leveraging FastText embeddings and deep learning. Articles are preprocessed into 128D embeddings, dynamically weighted with model-derived features. A hybrid Transformer integrates Liquid Neural Networks (LNN) and Kolmogorov-Arnold Networks (KAN) for dynamic adaptability and nonlinear feature mapping. Post-classification, XAI tools like LIME ensure interpretability. Our approach achieves high accuracy and reliability, tackling misinformation with advanced AI and Explainable AI (XAI) methods using the most recent breakthroughs in Deep Learning. |
147 | 6917 | Biomass Bricks | ClimateAction | This research explores the development of sustainable, cost-effective bricks using Biomass ash. Biomass ash, rich in reactive silica, offers a promising alternative to traditional clay bricks, reducing environmental impact, thermal conductivity and material costs. To optimize brick performance, the study focuses on the ideal combination of Biomass ash, local sand, cement, and additives like gypsum and lime. Controlled burning techniques are used to produce high-quality biomass ash with maximum silica reactivity. Advanced molding and curing methods, such as hydraulic pressing and autoclaving, enhance the bricks' strength, durability, and water resistance. The project is particularly beneficial in agricultural regions of Punjab with significant Biomass waste, providing a dual advantage of waste utilization and cost reduction. By minimizing the use of cement, these bricks reduce the carbon footprint of construction. The resulting bricks are lightweight, thermally efficient, and structurally sound, making them suitable for various applications, including affordable housing and disaster-resistant structures. The broader societal impact includes reduced environmental pollution, conservation of natural resources, and sustainable livelihoods for farmers and entrepreneurs. The project aligns with global sustainability goals by promoting waste utilization, clean technologies, and affordable infrastructure. By addressing existing gaps in the construction industry, this research aims to establish Biomass ash bricks as a competitive and environmentally friendly alternative to conventional and other eco-friendly building materials. |
148 | 6918 | Aerial Launchpad | IndustryInnovationAndInfrastructure | The Aerial Launchpad addresses the inefficiency of HAPS UAVs by enabling vertical launches through a coaxial quadrotor "mothership." This system reduces energy consumption during takeoff, ensuring long-duration surveillance in remote terrains without adding weight to the UAV, promoting sustainable applications such as environmental monitoring and disaster management. |
149 | 6919 | IOT Based Smart Helmet | GoodHealthAndWellBeing | In a world where safety is important, the IoT-Based Smart Helmet project stands as a beacon of innovation. Imagine empowering riders with cutting-edge technology that not only protects but also connects them in real time. Each helmet becomes a guardian, equipped to monitor environmental hazards and detect accidents, ensuring that help is always just a button away. This project isn't just about creating a product; it's about fostering a culture of safety, enhancing awareness, and saving lives. • Real-Time Tracking: Implement GPS technology for accurate location tracking, enabling emergency response capabilities, which will enhance user protection in high-risk areas. • Facilitate Communication: Develop a communication system that allows users to connect with supervisors or emergency services, ensuring that help can be summoned instantly in case of an incident. • Regulatory Compliance: Ensure that the smart helmet meets industry safety standards and regulations, providing users with a reliable and compliant product. • Impact Detection and Response: Utilize accelerometers and gyroscopes to monitor impacts and falls, triggering automatic alerts to designated contacts if a significant incident occurs. |
150 | 6920 | ReachAble | ReducingInequality | Individuals with limited mobility are unable to move to various locations in their house to retrieve essentials like food, water, medications, or even books, clothing. Our Assistive Care Robot uses gestures to control a robot to perform retrieval tasks suitable for any randomized terrain. |
151 | 6921 | A Robots | IndustryInnovationAndInfrastructure | Our idea is about affordable housing construction using a locally designed and built mobile 3D concrete printer. Our design utilizes a simple yet robust design, all made by locally available materials. We have made an affordable cement mixture used in this type of printing which is made by readily available materials. This will revolutionize the construction industry in Pakistan. |
152 | 6923 | Robotic Fleet | IndustryInnovationAndInfrastructure | A remote controlled robotic fleet consisting of a minimum of 2 robots and expanding upto 5 with each capable of lifting and maneuvering heavy equipment such as cars in difficult or dangerous environments. Each robot comprises of two jacks, several motors for lifting assistance, Arduino systems, and sensors for remote-controlled movements. The project seeks to enhance safety, efficiency, and productivity in handling heavy equipment in challenging situations. |
153 | 6924 | BlueSheild | LifeBelowWater | BlueShield is dedicated to safeguarding marine ecosystems by using innovative technology to attract and trap pollutants such as crude oil and fishing nets, while allowing marine species to move freely. This system can dramatically reduce ocean contamination, restoring balance and health to marine environments. |
154 | 6925 | “VeeCare”(vehicle Management System) | ResponsibleConsumptionAnd Production | The updated domain focus could be: 1. Predictive Vehicle Maintenance: Using historical data and predictive analytics (without IoT sensors) to notify users about potential maintenance needs. 2. Automotive CRM: Enhancing relationships between vehicle owners and service centers through data-driven recommendations and streamlined communication. 3. Cloud-Based Data Management: Storing and analyzing maintenance records, service history, and customer data in a centralized database. 4. Location-Based Services: Providing service center recommendations based on user location and preferences. This would emphasize software-based solutions over hardware integration. |
155 | 6926 | E-Driver | IndustryInnovationAndInfrastructure | This project introduces a comprehensive Driver Booking App designed to facilitate seamless connectivity between passengers and drivers. The primary objective of the app is to tackle unemployment by creating flexible job opportunities for drivers, especially in areas with high demand, such as Karachi. The app offers a user-friendly interface that allows users to book rides quickly and efficiently, while drivers can easily manage their profiles, search for jobs, and track their earnings. Key features include real transparent fare calculation, and a robust review system that enhances trust and reliability. With a strong focus on convenience, job creation, and safety, this app serves as an all-in-one platform that empowers drivers to earn a steady income while providing passengers with reliable and efficient transportation solutions. |
156 | 6927 | Blaze busters | IndustryInnovationAndInfrastructure | The objective of this project is to create an automated Intelligent Industrial grade Fire Suppression System which utilizes real-time fire hazard identification as well as control measures to enhance fire safety of industrial areas. Such a system will have machine learning interfaced on IP cameras over Raspberry Pi 5 to constantly stream live videos and provide fire detection with the necessary control measures where necessary. The principal part of the system is the updated version of the model YOLO v8, which can specifically target specific high heat areas and flame sources that require immediate attention with limited numbers of latency. Some of the automated responsive actions that the system makes include firing chemicals with extinguishers or setting up sprinklers . This system is autonomous therefore, there will be minimal human interactions and if there are any, the response time to the fire challenge is extremely fast. The project centers on achieving reliable detection of the traps in industrial complexities without compromising system robustness and general safety requirements. The main focus of the proposed solution is a real-time decision cycle designed to curtail fire threats, save resources, and improve industrial safety practices. |
157 | 6928 | Multipurpose Agricultural Robot | ZeroHunger | The rising demand for sustainable and efficient agricultural practices has fueled innovation in automation and robotics. This project introduces a multipurpose agricultural robot designed to address key challenges in modern farming: weed removal, seed plantation, and crop fertilization. By integrating advanced robotics and precision technology, this solution aims to enhance productivity, reduce labor dependency, and minimize environmental impact. The robot employs a high-precision laser system for weed removal, eliminating the need for chemical herbicides. Using advanced imaging and machine learning algorithms, it identifies and targets weeds with minimal damage to surrounding crops. This eco-friendly approach not only reduces chemical runoff into ecosystems but also preserves soil health for long-term agricultural sustainability. In addition to weed management, the robot is equipped with a seed plantation module capable of planting seeds at optimal depths and spacing. This level of accuracy reduces seed wastage, improves germination rates, and facilitates uniform crop growth. The third key feature of the robot is its ability to spray fertilizer selectively and efficiently. This targeted fertilization reduces costs for farmers and mitigates the environmental risks associated with over-fertilization. Its autonomous navigation system, powered by AI and GPS, enables it to operate seamlessly in diverse field conditions. The robot is also equipped with a user-friendly interface that allows remote monitoring and control, ensuring accessibility for farmers with varying levels of technical expertise. By replacing traditional, labor-intensive methods with automation, this multipurpose agricultural robot offers a scalable and sustainable solution to address the growing challenges of modern agriculture. This innovative approach highlights the transformative role of robotics in achieving sustainable farming practices, paving the way for smarter, greener agricultural systems in Pakistan. |
158 | 6929 | GeoGit Intelli | IndustryInnovationAndInfrastructure | GeoGit Intelli is a version control system for spatial data, enabling users to track changes in formats like vectors and rasters. It integrates GeoLLM AI for natural language commands, simplifying complex data tasks. The platform supports collaboration, allowing users to share and contribute to repositories. |
159 | 6930 | Delivery Robot | IndustryInnovationAndInfrastructure | The Delivery Bot is a versatile indoor robot designed for office assistance, restaurant service, hospital deliveries, and in-store advertising. Equipped with SLAM technology, it navigates efficiently, avoiding obstacles in dynamic environments. Its interactive screen displays emotions, and audio capabilities ensure seamless user interaction, making it adaptable to diverse delivery tasks. |
160 | 6931 | Medi Buddy | QualityEducation | MediBuddy is an innovative AI-driven platform enhancing the medical education and reducing diagnostic errors in clinical settings. with generative AI, it gives real-time feedback, interactive simulations, helping students improve differential diagnosis skills. by reducing the misdiagnosis, MEDIBUDDY aims to reduce healthcare costs, improve patient safety and transform medical training. |
161 | 6933 | SmartTransit | SustainableCitiesAndCommunities | Public transport (PT), a cornerstone of modern urban mobility, must adapt to evolving public mobility demands. Traditional methods for urban mobility analysis provide valuable insights but are often resource-intensive, costly, and time-consuming. We propose leveraging mobile phone ubiquity and widespread cellular networks to enable efficient, data-driven PT planning solutions. |
162 | 6936 | Robotic Mason | SustainableCitiesAndCommunities | This research is aimed at designing and developing a robotic arm for construction which will satisfy the requirement of Pakistan construction sectors. In its implementation, the research employs Building Information Modelling (BIM) via Autodesk Revit and Dynamo for real-time automation; gaps that can be addressed through dynamic computational generative design methodologies include the shortage of skilled labour, variability in work quality, as well as time delays in construction projects. Picking, mortaring, and exact positioning of the bricks are amongst the main processes to be automated for greater efficiency, less manual labor and better accuracy. This project presents a novel innovation towards the automation of brick laying and points to the possible positive impact of automation on the rate of construction, precision, and conformity in the construction industry with specific reference to Pakistan. The research thus compares the use of traditional approaches with the application of automation to evaluate resultant outcomes in qualitative control, speed, and future project viability. |
163 | 6937 | Flora Artisans | Other | Flora Artisans aims to develop indigenous flower seeds for Pakistan’s market, reducing import costs and boosting the local floriculture industry. By using innovative strategies like hydroponics and optimizing seed production for local conditions, we plan to cover 40% of the seed market by 2030. Our approach creates jobs, ensures sustainable farming, and opens opportunities for both local and international markets.Flora Artisans is focused on developing indigenous flower seeds specifically for the Pakistani market. Our goal is to reduce import costs and enhance the local floriculture industry. By implementing innovative strategies such as hydroponics and optimizing seed production for local conditions, we aim to capture 40% of the seed market by 2030. Our approach not only creates job opportunities but also promotes sustainable farming practices and opens avenues for both local and international markets. Flora Artisans is focused on developing indigenous flower seeds specifically for the Pakistani market. Our goal is to reduce import costs and enhance the local floriculture industry. By implementing innovative strategies such as hydroponics and optimizing seed production for local conditions, we aim to capture 40% of the seed market by 2030. Our approach creates job opportunities, promotes sustainable farming practices, and opens avenues for both local and international markets. |
164 | 6938 | Oral Insight | GoodHealthAndWellBeing | Limited dental care access hinders oral health. PMaDD aims to bridge this gap with an affordable, user-friendly mobile app and hardware mouthpiece. This solution enables self-assessments, early detection of dental issues, and promotes proactive oral health care, especially in underserved communities. |
165 | 6940 | Thermoacoustic Cooling | AffordableAndCleanEnergy | The rising demand for sustainable and efficient cooling technologies has driven interest in thermoacoustic cooling systems, which eliminate the environmental drawbacks of conventional refrigerant-based solutions. This project focuses on the design and development of a thermoacoustic cooling system specifically tailored for electronics cooling applications. Thermoacoustic cooling harnesses the interaction between sound waves and a gas medium to generate a temperature gradient within a resonator. By leveraging this innovative approach, the system achieves cooling without relying on harmful refrigerants, making it an eco-friendly alternative. The project explores critical aspects of thermoacoustic cooling, including resonator design, stack optimization, and material selection, with the goal of maximizing cooling efficiency while minimizing energy consumption. Computational simulations are employed to study acoustic wave propagation, thermal interactions, and energy transfer mechanisms. Additionally, a prototype system is developed to validate the theoretical findings and demonstrate the feasibility of thermoacoustic cooling for practical applications. A key focus is placed on optimizing system parameters such as frequency, pressure, and resonator geometry to achieve effective cooling performance under real-world conditions. The designed system offers a scalable and cost-effective solution, targeting small-scale electronics and other applications requiring precise thermal management. By eliminating the need for traditional refrigerants, this project contributes to global efforts to reduce greenhouse gas emissions and combat climate change. It aligns with the United Nations' Sustainable Development Goals (SDGs), particularly Affordable and Clean Energy (SDG 7) and Climate Action (SDG 13). This research not only highlights the potential of thermoacoustic cooling but also paves the way for the widespread adoption of environmentally sustainable cooling technologies. Through this work, we aim to revolutionize electronics cooling by introducing a solution that is efficient, sustainable, and economically viable, ensuring a greener future for thermal management systems. |
166 | 6941 | Solar Fresh | CleanWaterAndSanitation | Solar energy-driven water purification is a sustainable solution to address water scarcity and contamination by employing sun power. The system efficiently purifies water making it safe for consumption. Solar-powered purification offers an eco-friendly, cost-effective alternative, providing clean water access to remote or underserved regions with limited resources. |
167 | 6942 | ProstheTest | GoodHealthAndWellBeing | The project develops a durable testing jig for transtibial prostheses, addressing Pakistan’s lack of non-destructive testing (NDT) setups. With a steel frame and aluminum components, it simulates real-world conditions for mechanical and fatigue testing. This reduces reliance on in-vivo trials, enhancing prosthetic reliability, safety, and quality while filling a critical research gap |
168 | 6943 | AQUANEST | CleanWaterAndSanitation | Introducing a completely new paradigm in domestic water purification, the Smart Tank Purification and Monitoring System (STPMS) combines advanced filtration technologies with IoT-enabled monitoring and control. The system is designed for direct installation into water tanks, so purified water is constantly supplied via household taps instead of having to depend on the expensive and unsustainable specific alternatives of bottled water or traditional reverse osmosis (RO) systems. Instead, it addresses the relevant public health problems and contributes to environmental sustainability in line with global Sustainable Development Goals (SDGs). It includes a multi-stage filtration technology where UV, ultrafiltration, and activated carbon technologies integrate to get rid of impurities, and optional mineral enhancement improves water quality. Water quality parameters such as pH, total dissolved solids-TDS, turbidity, tank water levels, and consumption patterns are continuously monitored by IoT-enabled sensors. A dedicated mobile application allows real-time data access, maintenance alerts, and water usage analytics to empower efficient resource management. There is very little manual maintenance to do, hence, life expectancy, as well as dependability of the systems, are enhanced. Energy-efficient design with optional solar power integration makes the use sustainable even if it is an off-grid area. Customization of configuration makes it scalable from smaller households to larger residential complexes, as well as suitable for rainwater collection systems. |
169 | 6944 | TryOn AI | DecentWorkAndEconomicGrowth | This project aims to develop an innovative e-commerce platform that addresses key challenges in the online shopping industry, such as poor fit, high return rates, and limited search capabilities. The platform integrates advanced machine learning algorithms to deliver an enhanced user experience through three standout features: 1. Image-based Virtual Try-On: Users can upload their photos to visualize how clothes will look on them before purchasing. This feature leverages computer vision models to map garments onto users’ images accurately, providing a realistic try-on experience and increasing customer confidence in their choices. 2. Personalized Size Recommendations: The platform offers precise size suggestions by analyzing user images or videos to predict body measurements. This eliminates guesswork, ensuring better-fitting clothes and reducing the likelihood of returns, which is a major pain point in the fashion e-commerce industry. 3. Image-Based Product Search: Users can upload an image of a desired product to find similar items available on the platform. This feature uses deep learning to match uploaded images with products in the catalog, simplifying the search process and making the platform more user-friendly. Beyond these advanced features, the platform provides standard e-commerce functionalities such as multi-brand product management, seamless order processing, and user-friendly navigation. The platform is designed to promote decent work and economic growth by enabling small and medium-sized brands to reach a broader audience, fostering inclusivity, and creating new job opportunities in technology, logistics, and marketing. By combining cutting-edge technologies like computer vision and machine learning with practical e-commerce solutions, this platform aims to revolutionize online shopping, fostering higher customer satisfaction and reducing operational inefficiencies for retailers. It will also include tools for analytics, helping brands optimize inventory and marketing strategies. This project’s ultimate goal is to deliver an innovative solution that enhances user engagement, simplifies shopping processes, and creates tangible value for customers while contributing to sustainable economic development. |
170 | 6945 | CCTV Based Generative Model | PeaceJusticeAndStrongInstitutions | Manual monitoring of CCTV footage is labor-intensive, error-prone, and inefficient, often leading to delayed responses in critical situations. This project proposes a generative AI-based system to automate the analysis of CCTV footage, enabling the generation of concise, timestamped summaries of key events. The system integrates deep learning and video processing technologies to enhance surveillance efficiency, reduce human error, and improve decision-making in high-security environments. A user-friendly web application will allow seamless video uploads, summary visualization, and access to detailed footage. Designed for deployment in military contexts, the system emphasizes scalability, security, and compliance with operational standards. By automating surveillance, this project aims to optimize resource utilization and bolster situational awareness for the end user. |
171 | 6946 | SolWash | AffordableAndCleanEnergy | Due to SMOG and dust, solar panels suffer from performance loss due to dust and organic layer deposition. Traditional washing methods are ineffective against this. Sol Wash, a pH-neutral, non-abrasive, and manufacturer-standard compliant solar washing fluid, effectively removes both dirt and organic layers. Its unique formulation gently agitates and lifts the organic layer, leaving back a hydrophobic layer, restoring panel efficiency. |
172 | 6947 | Intelligent Vision | GoodHealthAndWellBeing | "Intelligent Vision" is a mobile application designed to empower blind individuals by providing advanced assistive technology. Using a mobile camera, it detects objects, estimates their distance, and identifies exits to simplify indoor navigation. Integrated with voice activation, the app ensures seamless, hands-free interaction, enhancing independence and mobility for its users. |
173 | 6948 | Journey mate | DecentWorkAndEconomicGrowth | Journey mate is an AI-powered travel app that helps users plan trips, book hotels, and rent cars tailored to their budgets and preferences. Featuring an interactive map and personalized recommendations, it connects travelers to attractions, accommodations, and activities while ensuring affordability and convenience. |
174 | 6949 | Cassava Delights | GoodHealthAndWellBeing | Cassava delight, where the taste meets wellness, is a healthy snack made from tapioca flour. Cassava is an underutilized root vegetable, but by using a drought-resistant crop, cassava, we made game-changing snacks that are the perfect blend of taste and health. Cassava delights are the cookies that are delicious as well as rich in fiber and free from any allergens. In a world where we are facing various global issues like food insecurity, unhealthy lifestyles, and environmental concerns, we can say that the cassava delights are an innovative approach to healthy snacking. Cassava delights are not only the name of snacking; these cookies are the opportunity to nourish the body as well as support gut health and for sustainable food practices. |
175 | 6950 | Smart Inventory | IndustryInnovationAndInfrastructure | The P&R Inventory Management System-2 is a web-based solution designed to automate and optimize inventory control, procurement, and equipment maintenance for organizations like the Military College of Signals (MCS). Built on the MERN stack, the system integrates AI-driven predictive analytics for proactive equipment maintenance and procurement automation based on real-time stock levels. The system offers an intuitive user interface, role-based access control, and automated alerts to streamline operations, reduce errors, and enhance decision-making. By eliminating paper-based processes, it also supports sustainability goals, making it a scalable, cost-effective solution for modern institutions. |
176 | 6952 | Network Monitoring | IndustryInnovationAndInfrastructure | Our app monitors real-time cellular network parameters like signal strength, latency, and throughput. Using Android Studio with Kotlin/Java, it stores data in the cloud for analytics. Dashboards provide service provider insights, helping users and providers optimize network performance. |
177 | 6953 | Interior Design | IndustryInnovationAndInfrastructure | In order to support sustainable solid waste management, this project investigates creative ways to turn discarded fabric into eco-friendly ornamental items and fabric bricks. By turning used textiles into useful, aesthetically beautiful products and building materials, the project tackles the growing environmental issues associated with textile waste. Waste fabric is transformed into long-lasting ornamental items and fabric bricks using a number of procedures, such as cleaning, cutting, and binding, which lowers landfill waste and encourages recycling. The initiative intends to illustrate the usefulness of repurposed materials, emphasizing their capacity to lower carbon emissions and promote environmentally friendly practices in the building and decorating sectors. Customers are increasingly looking for sustainable alternatives in their homes and workplaces. Eco-friendly materials like we will creator to this demand by offering products that are not only stylish but also environmentally responsible. Items such as coffee tables, lamp holders, fabric bricks, chairs, book holders, and mirror stands made from IDH can appeal to eco-conscious consumers who prioritize sustainability in their purchasing decisions. Products that are fire and water-resistant are highly valued for their longevity and safety features.. Additionally, better acoustic insulation can create a more comfortable and quieter living or working environment, which is a desirable quality for many investors.This strategy not only lessens the negative effects on the environment but also provides an innovative solution to the textile waste issue, promoting a circular economy and inspiring further innovations in waste management |
178 | 6954 | AEGIS | SustainableCitiesAndCommunities | The Artificially Enhanced Guarding and Intelligent Surveillance System (AEGISS) is an AI powered surveillance application designed to improve the limitations of traditional CCTV monitoring by automating the detection of critical incidents in public spaces. This system uses advanced AI models to analyze CCTV footage in real-time, detecting weapons and recognizing actions such as snatching with weapons, fighting, accidents and fire. Upon identifying a threat, AEGISS generates immediate alerts to relevant authorities, facilitating faster response times and enhancing public safety. Unlike manual surveillance, which is prone to human error, AEGISS provides a consistent and reliable solution that reduces the need for constant monitoring while ensuring continuous, accurate threat detection. With a modular design, AEGISS can be tailored to various environments making it a versatile and scalable choice for enhancing security. By addressing the need for efficient, automated surveillance in public settings, AEGISS stands as a significant advancement in intelligent monitoring technology. |
179 | 6955 | Smart Security Generations (SSG) | Other | The Smart Security Generation project introduces an innovative smart lock system aimed at enhancing security and convenience for high-end residences and commercial properties. Utilizing advanced sensors, mobile app integration, and robust encryption, the system provides real-time alerts, remote monitoring, and user-friendly control. Key features include environmental monitoring, tamper-proof design, and end-to-end data encryption. This comprehensive solution aims to address rising concerns over security breaches, offering proactive and adaptive technology to safeguard people and assets. The project’s mission is to empower users with reliable security, seamless mobile connectivity, and eco-friendly design. Its vision is to redefine property security through smart, sensor-equipped locks that deliver real-time protection. The marketing strategy targets tech-savvy consumers and institutions like banks, leveraging digital advertising, partnerships, and trade show participation to highlight its unique benefits. Distinguished by features such as movement detection and secure remote access, the system bridges gaps in existing security solutions. Designed by CMX, an established manufacturer with expertise in precision engineering, this product aims to revolutionize the smart security market. Through strategic innovations and customer-centric development, Smart Security Generation aspires to set a new standard in accessible, intelligent security technology. |
180 | 6956 | GradAI | QualityEducation | GradAI is an innovative solution that leverages Artificial Intelligence to automate the evaluation of students' physical answer sheets, streamlining the traditional grading process. By employing state-of-the-art Optical Character Recognition (OCR) for digitizing handwritten responses and advanced Natural Language Processing (NLP) techniques for content analysis, GradAI ensures accurate, efficient, and unbiased scoring. The system incorporates AI algorithms to compare student answers against predefined answer keys and generating precise scores. Designed to save educators time while enhancing assessment quality, GradAI bridges the gap between manual evaluations and technology-driven efficiency. Its user-centric design and scalability make it a transformative tool for educational institutions, revolutionizing how assessments are conducted and improving learning outcomes. |
181 | 6957 | Analytica AI | IndustryInnovationAndInfrastructure | The LLM-Powered Data Analytics System revolutionizes decision-making by automating data analysis, visualization, and reporting. With a simple web interface, users can ask natural language questions to extract insights from diverse data sources. AI agents handle data cleaning, trend analysis, and report generation, ensuring accuracy and clarity. Designed for businesses, it simplifies complex tasks, saves time, and fosters smarter decisions with minimal effort. |
182 | 6959 | DEFECT DETECTION AND QUANTIFICATION IN THICK CARBON FIBER COMPOSITES USING INFRARED THERMOGRAPHY | QualityEducation | Utilization of Thermal Camera for the Damage Detection Comparison of Post-Processing Algorithms for the Detection of Defects inside Composite Material through IRT Data |
183 | 6960 | InfoSmashers | QualityEducation | InfoSmashers empowers underserved communities with freelancing skills, bridging gaps in education and employment. Offering globally relevant courses like Web Development, digital marketing, and SEO, it ensures practical training, client acquisition guidance, and mentorship. With affordability and accessibility at its core, InfoSmashers fosters financial independence and uplifts marginalized areas. |
184 | 6961 | NetComply Automation | IndustryInnovationAndInfrastructure | It is said that "humans are the weakest link" and that "security is as good as the rules." The reason behind that is that humans make mistakes, and they can be ignorant in complying with the rules and standards. The complexity of modern network devices like firewalls, routers, and switches demands precise configurations to meet international security standards such as ISO 27001, CIS Benchmarks, and NIST 800-53. Manual auditing is prone to errors and inefficiencies, leaving organizations vulnerable. This project, Automated Network Compliance Assessment Software, streamlines the compliance verification process for devices from vendors like Huawei, Cisco, Fortinet, and Juniper. By automating audits, it reduces human error, strengthens security frameworks, and ensures adherence to global standards, making it an indispensable tool for organizations committed to cybersecurity excellence. |
185 | 6963 | Stevigrain Biscuits | GoodHealthAndWellBeing | The rising prevalence of lifestyle-related health issues such as diabetes, obesity and cardiovascular diseases has driven the demand for functional foods with improved nutritional profiles. This study focuses on the development and evaluation of stevia-infused low glycemic index (GI) biscuits aimed at health-conscious individuals, including diabetics, those managing obesity, and individuals seeking healthier dietary alternatives. Stevia, a natural, calorie-free sweetener, was incorporated into the formulation as a sugar substitute, while barley flour, known for its high fiber content and low GI, was utilized as the primary ingredient. The formulation was optimized to balance taste, texture and nutritional value while maintaining the functional benefits of stevia and barley. Rheological and functional properties of the dough were studied to assess its handling and suitability for biscuit production. Key physicochemical parameters such as moisture content, texture and shelf life were monitored to ensure product stability over a 30-day storage period. Additionally, sensory evaluation was conducted to gauge consumer acceptability, focusing on flavor, texture and overall appeal. The glycemic index of the developed biscuits was determined through a human-based experimental model to confirm their suitability for individuals with blood sugar management concerns. Results indicated that the biscuits exhibited a significantly lower glycemic index compared to conventional sugar-based biscuits, making them an ideal snack option for diabetics and those seeking low-GI foods. Nutritional profiling revealed enhanced fiber content and a reduction in total sugars, aligning with dietary recommendations for improved gut health and reduced caloric intake. The use of stevia contributed to a natural sweetness without adverse effects on flavor or texture, ensuring consumer satisfaction. Storage studies demonstrated that the biscuits retained their sensory and nutritional quality for the evaluated period, highlighting their commercial viability. This research underscores the potential of integrating natural sweeteners like stevia and low-GI ingredients such as barley into functional food products. The developed biscuits offer a promising solution for health-conscious consumers, bridging the gap between taste and health. Further studies may explore the scalability of production and the incorporation of other bioactive ingredients to enhance the nutritional and functional properties of such products. |
186 | 6964 | Sustainable Concrete Revolution by Harnessing Seawater, Sea Sand, and Volcanic Ash with Machine Learning for Eco-Friendly and Cost-Effective Construction | IndustryInnovationAndInfrastructure | Concrete remains an indispensable material in construction due to its strength, durability, and versatility. However, traditional concrete production heavily relies on cement, generating substantial CO₂ emissions, exacerbating environmental and climate challenges. In Balochistan, a coastal region with limited resources, conventional construction methods intensify sustainability concerns, highlighting a pressing need for innovative solutions. The presence of volcanic ash (VA) in Balochistan poses significant environmental and health risks. Left unmanaged, this toxic material impacts air quality, disrupts agriculture, and endangers ecosystems. Freshwater scarcity further complicates the region’s sustainability efforts, as frequent cyclones and flooding compromise water availability for both drinking and construction needs. Additionally, river sand, essential in traditional concrete mixtures, is costly and difficult to source locally, increasing logistical demands and further straining resources. In response to these challenges, this project explores sustainable construction solutions by developing two types of concrete mixtures. The first, referred to as "traditional concrete," involves partially replacing cement with varying percentages of volcanic ash (0%, 5%, 10%, 15%, 20%, 25%, 30%) while using freshwater and river sand in the mix. The second type, termed "modified concrete," also replaces cement with volcanic ash but incorporates 100% seawater and sea sand instead of traditional freshwater and river sand. By reimagining waste materials and adapting to Balochistan’s unique resource constraints, this approach aims to reduce environmental impact, conserve vital resources, and promote resilience in the region’s construction practices. A machine learning-based prediction model will be employed to optimize the volcanic ash proportion, leveraging the analysis of compressive, tensile, and flexural strengths to refine the performance of these innovative concrete types. |
187 | 6965 | Computational Investigation of 4-DOF Flight Dynamic Model of a High-Speed Projectile | IndustryInnovationAndInfrastructure | This project revolutionizes the field of high-speed projectiles, such as missiles, by offering a robust foundation for their design and optimization across subsonic to supersonic regimes. Intricate CAD models are subjected to rigorous CFD simulations, analyzing their aerodynamic behavior across a wide range of angles of attack and supersonic Mach numbers. By extracting dynamic stability parameters through MISDAT and integrating the validated aerodynamic data into a 4-DOF flight dynamics model, we enable real-time trajectory predictions and optimization of projectile performance. This comprehensive approach paves the way for the next generation of precision-guided ground-to-air and ground-to-ground 3+ Mach-capable projectiles, offering the potential for significantly enhanced accuracy, range, and maneuverability. |
188 | 6966 | Optimization of mechanical properties in palm tree fiber-reinforced concrete using machine learning for sustainable construction | IndustryInnovationAndInfrastructure | The construction industry, a significant contributor to global carbon emissions, urgently requires sustainable materials and innovative methods to reduce its environmental footprint. Our project, Optimization of Mechanical Properties in Palm Tree Fiber-Reinforced Concrete Using Machine Learning for Sustainable Construction, addresses this challenge by integrating treated palm tree fibers (a prevalent agricultural waste in Pakistan) and fly ash (an industrial by-product) into concrete mixes. This novel approach not only mitigates the environmental issues associated with waste management but also enhances the mechanical properties of concrete, such as compressive and flexural strength. The natural properties of palm tree fibers improve tensile strength, ductility, and thermal insulation, while fly ash reduces cement usage and increases durability through its pozzolanic action. Leveraging locally available resources ensures cost-effectiveness and aligns with principles of a circular economy. The project introduces machine learning as a transformative tool to optimize mix designs, minimizing traditional trial-and-error methods and reducing resource wastage. By applying advanced algorithms, we develop predictive models to achieve precise formulations, ensuring superior mechanical performance and environmental sustainability. Aligned with the United Nations Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure) and SDG 11 (Sustainable Cities and Communities), this project contributes to sustainable urban development. Its potential applications extend to civic bodies, industries, and small-scale construction, offering scalable, data-driven solutions to the construction sector in Pakistan. |
189 | 6967 | Organic Wash | GoodHealthAndWellBeing | A wide range of chemicals having pharmacological properties are produced by marine species. The capacity of these species to suppress human pathogenic diseases was assessed. Over the past three decades, seaweeds have contributed to numerous pharmaceutical applications on gall stones, renal disorders, cancer, heart disease, asthma, psoriasis, and antibacterial, antifungal, and antiviral effects. Seaweeds have a wide range of metabolites, including polysaccharides, glycoproteins, terpenoids, alkaloids, lectins, pigments, and ketones. Around the world, fruit and vegetables are a key source of sustenance. They include a plethora of naturally occurring substances, such as vitamins, proteins, fibres, and minerals, that have different health effects. Therefore, it is strongly advised that they be consumed wherever. Remarkably, nevertheless, over one-third of fruits and vegetables are unable to reach consumers because they are contaminated with harmful microorganisms (e.g., bacteria, fungi, viruses.The largest post-harvest concern facing the agri-tech industry is unquestionably fungal in origin. Fungal diseases that develop after harvest reduce the quality of food and can lead to infectious diseases in humans. |
190 | 6968 | Aquanut Delight | GoodHealthAndWellBeing | This study presents the development of "Aquanut Delight," a nutraceutical chocolate specifically designed for women experiencing menstrual discomfort, including dysmenorrhea. Unlike many chocolates currently available in the market, Aquanut Delight stands out due to its unique blend of ingredients that not only offer indulgence but also serve a functional purpose in alleviating menstrual cramps. The primary ingredient, water chestnut, is known for its health benefits, particularly in providing relief from menstrual pain. Combined with other organic and healthy ingredients, this chocolate not only eases discomfort but also acts as a mood booster, enhancing overall well-being during menstruation. To ensure the quality and efficacy of Aquanut Delight, various tests were conducted, yielding the following results: ash content of 2.5%, moisture content of 0.01%, and a water activity level of 0.5. Additional tests, including color analysis, centrifugation, and texture analysis (31), were performed to validate the product's consistency and appeal. The chocolate's sugar content was measured at 10.5 degrees, and its pH level was found to be neutral, ensuring a balanced taste and stability, beneficial phytochemical test also performed. Aquanut Delight represents a novel approach to addressing menstrual discomfort by combining the nutritional benefits of water chestnut with the indulgence of chocolate, offering women a unique and comforting nutraceutical option. Keywords: Nutraceutical Chocolate, Menstrual Discomfort, Dysmenorrhea Relief, Water Chestnut, Mood Booster, Women's Health, Organic Ingredients, Chocolate Testing, Functional Foods. |
191 | 6970 | Graphene Oxide | CleanWaterAndSanitation | Green synthesis of graphene oxide which is small in size and provides good surface area. It can be used in different applications including energy storage, environmental remediation,electronics, and biomedical applications. Used in different industries including aerospace,electronics, automotive, and healthcare. These materials have remarkably high electrical, mechanical, and thermal properties. Graphene oxide chemical stability, conductivity and high surface area enhance energy efficiency. This can reduce reliance on fossil fuels and mitigate environmental impacts in the renewable energy sector. Graphene oxide adsorption properties are exceptionally high towards different pollutants, including organic contaminants, heavy metals, and gases . Its uses are in water and air purification systems to treat wastewater, filtration of air, and environmental remediation. |
192 | 6971 | Aloe-Ginger Cust by Foodenomics | GoodHealthAndWellBeing | The invention “Aloe Ginger Cust” fulfills the need of a healthier snack option which has the nutritional benefits of Aloe Vera and Ginger in a conventional biscuit. Traditional biscuits are often rich in carbohydrates, fats, but poor in dietary fiber, which poses health risks like obesity and digestive problems. The “Aloe Ginger Cust” is made from a unique blend of wheat flour, barley flour, Aloe Vera gel and ginger, which offers a nutritious and sustainable alternative for health conscious persons. Aloe Vera is rich in vitamins, minerals, and anti-oxidants whereas ginger aids in digestion, reduces inflammation and may offer additional health benefits. The presence of certain bioactive components in Aloe Vera such as acetylated mannan, polyphenols, and flavonoids contributes to its antioxidative, immune-modulating and anti-diabetic properties. The bioactive substances like gingerols and shogaols possess the ginger’s anti-inflammatory, anti-clotting and analgesic characteristics. Furthermore, barley is known to aid in lowering blood sugar and cholesterol level due to presence of beta-glucan. By fortification of such ingredients in “Aloe Ginger Cust” the biscuits become a healthier choice in comparison with conventional biscuits. The invention “Aloe Ginger Cust” is claimed to be aid in prevention of gastrointestinal inflammation, helping in glucose metabolism in prediabetics and preventing diabetes dyslipidemia. With its unique flavour, texture, tingling spice if ginger and the familiar conventional biscuit taste, “Aloe Ginger Cust” offers a flavorful, nutritious and sustainable snack for individuals who are seeking such products. |
193 | 6972 | Campus Vigil Watch | SustainableCitiesAndCommunities | Campus Vigil Watch: A Cutting-Edge Campus Security Solution Campus Vigil Watch is an advanced security system designed to enhance campus safety by proactively detecting and preventing threats involving firearms and bladed weapons. By leveraging image recognition and machine learning, the system automates real-time identification and classification of weapons, enabling swift responses to potential dangers. The system integrates Convolutional Neural Networks (CNNs) for object detection and Large Language Models (LLMs) for contextual video analysis. CNNs excel at identifying and localizing objects within images, making them ideal for detecting weapons. LLMs analyze surrounding video footage to assess threat levels and recommend appropriate responses. This combination offers a robust and accurate approach to threat detection, surpassing traditional security measures. Campus Vigil Watch provides real-time alerts to campus security personnel, ensuring immediate action against potential threats. The research involved collecting and annotating over 5,000 images across 11 categories, including guns and knives, using Roboflow. Data cleaning and augmentation ensured model accuracy and robustness. The system employs the COCO (Common Objects in Context) model, known for its high performance in object detection across multiple categories. The trained model is integrated into a real-time monitoring system, processing video footage from surveillance cameras. Upon detecting a threat, the system triggers an alert to security personnel, including detailed information for rapid response. Key Benefits: - Proactive Threat Detection:Identifies potential threats early to prevent escalation. - Real-Time Alerts:Enables swift intervention by notifying security personnel immediately. - Enhanced Safety:Reduces the risk of violence, creating a secure environment for students and staff. - Cost-Effective Integration:Operates with existing campus security infrastructure, minimizing expenses. Campus Vigil Watch is a powerful tool for improving campus safety. By leveraging cutting-edge technology, it offers proactive detection and prevention of threats, fostering a secure environment for the campus community. As technology advances, Campus Vigil Watch is poised to expand its capabilities, ensuring even greater security for campuses worldwide. |
194 | 6973 | Heart Sync | GoodHealthAndWellBeing | Cardiac arrest (CA) is a life-threatening condition that necessitates immediate and effective cardiopulmonary resuscitation (CPR). High-quality chest compressions are crucial for the return of spontaneous circulation (ROSC), yet both professionals and laypersons often perform them incorrectly. Various devices have been developed to provide real-time feedback on compression quality, but they have limitations, including discomfort and inaccurate data due to sensor displacement.This interdisciplinary project presents a novel solution using smart textiles to develop flexible, wearable devices. We have designed and developed smart gloves integrated with pressure sensors and inertial measurement units (IMUs), achieving high detection accuracy and wearability. The smart gloves measure key parameters of chest compression quality, including compression depth, rate, and hand position.This work represents the first e-textile-based smart gloves for real-time assessment of chest compression quality during adult CPR. By combining smart textile design and data analytics, we have created lightweight, adaptable, and replicable prototypes. These smart gloves have the potential to improve CPR training, enhance patient outcomes, and save lives. |
195 | 6974 | DiaCare Using Generative AI Large Language Model | GoodHealthAndWellBeing | A web-based platform for managing diabetes, offering Generative AI chatbot support, appointment scheduling, personalized diet/lifestyle advice, medication reminders, diabetic risk assessment, KNN-based meal recommendations, and software-based ML-powered fitness tracking. Admins can securely manage users and share reports. This solution empowers users with tools to improve health and quality of life. |
196 | 6975 | SmartInspect | IndustryInnovationAndInfrastructure | Our AI-driven computer vision system redefines manufacturing by leveraging deep learning to analyze live images against reference standards, ensuring precise classification of components as "OK" or "NG." Trained on a custom dataset of 7,000 annotated images collected on-site, it integrates with SAP ERP for intelligent data flow and Industry 4.0 innovation. Built for automotive, adaptable to any industry. |
197 | 6976 | Green Plastic Revolution: Transforming Potato and Rice Starch into Bioplastic | IndustryInnovationAndInfrastructure | In this study, we investigate starch-based bioplastics obtained from potato peels and rice grains as an environmentally friendly alternative to conventional plastics. Films were developed and analyzed using extracted starch and glycerol/ sorbitol as plasticizers. The results highlight the potential of agricultural waste for the sustainable production of bioplastics, solving pollution and waste management problems. |
198 | 6977 | Pasbaan UAV | ClimateAction | Pasbaan UAV is a true-VTOL drone platform providing autonomous overwatch for disaster-stricken areas. With climate change intensifying natural disasters like floods, landslides, and forest fires in Pakistan, the need for rapid and efficient response tools has never been greater. Designed for Emergency Response teams, Pasbaan aids in assessing damage and locating stranded or injured individuals during natural disasters. Equipped with Day/Night cameras and AI-based human detection, it delivers real-time intelligence to response teams. Long-endurance, and rapidly deployable, it ensures effective and timely rescue operations when it matters most. |
199 | 6979 | 4 DOF Robotic Arm with Sliding Base | IndustryInnovationAndInfrastructure | A 4-DOF robotic arm with a sliding base designed for efficient packaging automation, increasing productivity and reducing labor costs. |
200 | 6980 | Hybrid AEV | Other | A hybrid aerial electric vehicle combining ground and aerial modes for efficient mobility. Designed for applications like emergency response, surveillance, and environmental monitoring, it features energy-efficient path planning, seamless transition mechanisms, and dual-purpose components. The vehicle offers enhanced adaptability for diverse terrains and complex scenarios, ensuring practical and innovative solutions. |
201 | 6981 | Move Smart | SustainableCitiesAndCommunities | This idea aims to identify factors influencing urban mobility, using data mapping and regression analysis to identify mobility hotspots. By analyzing environmental and infrastructural impacts, it aims to optimize public transport and improve connectivity in areas with limited movement, fostering sustainable mobility |
202 | 6982 | ReFlex | GoodHealthAndWellBeing | Our idea aims to develop a 3D-printed prosthetic hand using soft robotics and sensor fusion. Featuring EMG sensors for muscle signal interpretation, a Raspberry Pi camera for incorporating computer vision, and tactile and current sensors for real-time feedback. It is designed to enhance usability and mimic human-like responses. This innovation offers amputees a more intuitive, responsive, and effective prosthetic solution. |
203 | 6983 | "Eco-Friendly Synthesis of Silver Nanoparticles and Antioxidant Potential of Hibiscus Extracts: A Sustainable Approach to Health and Nanotechnology" | ResponsibleConsumptionAnd Production | The increasing global prominence on health and well-being has sparked a revival of interest in natural product, particularly plant derived products for therapeutic uses. Among these, Habicus is notable for its enriched phytochemical contents and traditional medication used since ancient time (Keyata et al., 2021). Habicus extracts showed to have substantial elevated levels of bioactive components including flavonoid and polyphenols which has potential free radical scavenging activity to combat oxidative stress in biological systems and can be consider as important components for the treatment of different ailments (Afolabi et al., 2023). In addition to its established medicinal significance, Habicus has recently gain considerable interest in the field of nanotechnology, predominantlyfor its potential in sustainable synthesis of nanoparticles because of the presence of bioactive compounds (Okorondu et al., 2024). This green synthesis approach not only minimizes environmental impact but also holds potential for the scalable production of biocompatible nanoparticles with diverse applications. Aims and Objectives This study aims to explore the biochemical profiling of Habiscus extracts, evaluate their efficacy in synthesizing nanoparticles, and assess their antioxidant properties, thereby investigating the dual significance of Habiscus in health and technology. The result showed the presence of phytochemicals in ethanolic extract of Habicus flower, revealed high concentration of flavonoids and phenolic compounds. The presence of elevated amount of phytocompounds supports the conventional use of Habicus for the treatment of various ailments. Flower extract successfully demonstrate the synthesis of AgNPs, having size ranging from 10-50 nanometers. Characterization via SEM showed that AgNPs possess spherical and crystaliine structures. In conclusion, this study highlights the auspicious applications of Habiscus flower extract as both effective antioxidants and efficient agents for nanoparticle amalgamation. The rich phytochemical composition not only supports traditional medicinal uses but also provides a foundation for inventive applications in nanotechnology. |
204 | 6984 | VenueVerse | DecentWorkAndEconomicGrowth | VenueVerse is a web-based platform revolutionizing wedding and event planning by connecting users with venues and service providers. Featuring real-time booking, personalized recommendations, advanced search, and reviews, it simplifies planning while ensuring a seamless experience. Powered by cutting-edge technology, VenueVerse bridges users and vendors for memorable events. |
205 | 6985 | Enzyme nanoparticles | IndustryInnovationAndInfrastructure | Pectinase refers to a mixture of enzymes including pectolyase, pectin methylesterase and polygalacturonase. It attacks on pectin which is a structural polysaccharide with a backbone of galacturonic acid residues linked by ɑ-(1-4) linkages, present in fruits and vegetables Pectinase has various biotechnological applications in different industries such as the paper and pulp industry and the textile industry, but it is largely applied in the fruit juice industry to improve the overall yield and quality of fruit juices. In the present study, a novel pectinase-producing bacterial strain will be isolated from soil and identified by 16S rRNA sequencing. Using submerged fermentation technology, pectinase will be produced under optimized conditions, including temperature, pH, and the time course of fermentation. The media composition for pectinase production will also be optimized. The enzyme will then be isolated from the fermented media through centrifugation and partially purified using a salt fractionation technique, followed by characterization for kinetic properties and stability parameters. In order to increase the stability, efficiency and reusability, the partially purified pectinase will be immobilized on silver (AgNPs) and silica nanoparticles (SiNPs). Nanocarrier-based immobilization is a novel approach gaining much interest nowadays to enhance the enzyme’s applicability in industrial processes. Silver and Silica nanoparticles will be synthesized using chemical method. Comprehensive characterization will be performed using Scanning Electron Microscopy (SEM), X-ray Diffraction (XRD), and Fourier Transform Infrared Spectroscopy (FTIR) to confirm the successful synthesis and functionalization of the nanoparticles. The characterization of pectinase-immobilized nanoparticles will include assessments of catalytic activity, thermal stability, pH stability, and reusability. This research highlights the potential of nanoparticle-immobilized enzymes for various industrial applications, providing specific insights into the advantages and limitations of using silver versus silica nanoparticles. |
206 | 6986 | Car Instincts | SustainableCitiesAndCommunities | The Car Instincts System is a self-driving car project using YOLOv10 and Raspberry Pi 5 for intelligent transportation. It identifies lanes, vehicles, pedestrians, and obstacles to make real-time decisions. With modes for fully autonomous driving and manual control, it includes safety features like auto-braking and an anti-sleep mechanism. Applications include tourist navigation, inclusive travel, and automated courier services. |
207 | 6987 | Hair fertilizer | IndustryInnovationAndInfrastructure | the creative process of turning discarded human hair into liquid nitrogenous fertilizers. In order to extract nitrogen in the form of ammonium and nitrate ions, reductive cleavage of hair proteins was accomplished using potassium hydroxide (KOH) and tetramethylammonium hydroxide (TMAH) as solvents. When it came to dissolving hair and extracting nitrogen, KOH outperformed TMAH, according to comparative studies. Spinach (Spinacia oleracea L.) was used as a test crop in a vegetation pot experiment to assess the synthetic fertilizers. Four treatments were used: commercial NPK (15-15-15) fertilizer (T4), KOH-based fertilizer (T2), TMAH-based fertilizer (T3), and no fertilization (T1). The broadcasting approach was used to apply fertilizers at a nitrogen equivalent of 50 kg/ha to four pots for each treatment. Both KOH- and TMAH-based fertilizers performed better than commercial NPK fertilizer after 28 days, according to plant growth criteria as height, leaf count, and fresh and dried weights of edible portions. These results support the innovative use of discarded human hair in agriculture by demonstrating its potential as an efficient and sustainable supply of nitrogen. |
208 | 6988 | NeuroLink DX | GoodHealthAndWellBeing | Our project aims to deliver a multi modal diagnostic tool for early detection and stage classification of Alzheimer’s within dementia spectrum. This will be achieved by combining data like speech, MRI, PET scans, demographics, medical history, blood biomarkers (amyloid-β plaques and tau tangles). Fusion of all these data would give more accurate and earlier detection of Alzheimer. |
209 | 6989 | Visionaire | IndustryInnovationAndInfrastructure | Visionaire is being developed for the Planning Commission to address a critical gap in project monitoring and reduce corruption. It tracks progress, labor efficiency, and safety hazards in real time using drone imagery, on-site cameras, and digital twin technology. With computer vision, it alerts clients to risks and ensures transparency via a user-friendly app and website. |
210 | 6990 | Wireless charger for EV through Super Capacitor | IndustryInnovationAndInfrastructure | The goal of this project is to develop a convenient wireless charging system for Electric Vehicles (EVs), utilizing Super capacitors as Energy Storage System. This project incorporates the fast charging capabilities and the durability of Super Capacitors. The aim is to reduce the hassle of long charging times and the wait to charge the car at a charging station. This project provides a solution to reduce charging time for EV and enhanced convenience. |
211 | 6991 | Birdify | LifeOnLand | This project presents an innovative AI-driven platform designed for bird enthusiasts, seamlessly combining advanced artificial intelligence technology with practical tools to create a comprehensive and user-friendly experience. The system includes a cutting-edge module for real-time bird species recognition and accurate gender detection, catering to the needs of professionals and hobbyists alike. Additionally, the platform features a dedicated marketplace exclusively for buying and selling birds, ensuring a secure, efficient, and tailored environment for avian trade. By addressing the unique needs of the birding community through advanced technology, this platform fosters a smarter and more connected ecosystem, revolutionizing how bird enthusiasts explore, learn, and interact with their passion. |
212 | 6992 | Meshed Antenna | IndustryInnovationAndInfrastructure | The Internet of Things (IoT) demands efficient communication, yet traditional antennas often fall short due to cost, size, and thermal inefficiency. Meshed antennas offer lightweight, thermally efficient, and customizable solutions, ideal for IoT. This project designs a novel MIMO wideband meshed antenna operating at 3.5 GHz and 5.5 GHz, ensuring high data rates, signal quality, and flexibility for seamless integration in IoT, 5G, and B5G systems. |
213 | 6993 | Solar Drying | AffordableAndCleanEnergy | This project focuses on developing an efficient solar drying system for pasta, aiming to reduce energy consumption and environmental impact. By harnessing solar energy, the system will provide a sustainable solution for drying 450 kg of pasta. The project incorporates innovative solar collectors and drying techniques to optimize efficiency while maintaining product quality, offering a cost-effective, eco-friendly alternative to traditional drying methods. |
214 | 6994 | Pedalytics | SustainableCitiesAndCommunities | This study leverages Computer Vision Techniques (YOLOv8) for pedestrian risk analysis to address rising road traffic accidents. By analyzing unmarked crossings and high-risk zones, it offers actionable insights via a data-driven framework, aiding policymakers in enhancing pedestrian safety. Scalable globally, it aims to reduce fatalities and improve urban road safety. |
215 | 6995 | Predicting of Pitting corrosion of stainless steel using machine learning and validating experimentally | IndustryInnovationAndInfrastructure | This project focuses on predicting pitting corrosion of stainless-steel using machine learning techniques. Data will be sourced from both experimental results obtained through electrochemical testing (e.g., Epit measurement via Gamry software) and relevant literature. The scope includes training a machine learning model to predict the pitting corrosion behaviour of stainless steel under different chloride concentrations. The hypothesis revolves around leveraging machine learning to accurately predict pitting potential based on composition and environmental factors. Anticipated results include a validated machine learning model that can be used in industrial applications to reduce the experimental workload. |
216 | 6996 | MIMO Antenna | IndustryInnovationAndInfrastructure | This project presents a compact 2-element MIMO patch antenna for 5G communication, designed to operate in ultra-dense networks. With closely spaced elements, the antenna minimizes mutual coupling and maximizes signal integrity, ensuring reliable performance. The design supports 5G applications such as enhanced mobile broadband and IoT, emphasizing high spectral efficiency and compactness. |
217 | 6997 | Fish Crackers | GoodHealthAndWellBeing | Fish crackers are a light, crispy snack made from fish powder and herbs, offering a unique flavor, high nutritional value, and extended shelf life. Packed with omega-3 fatty acids, proteins, and antioxidants, they combat malnutrition while utilizing locally available fish. This value-added product promotes sustainable nutrition, minimizes fish waste, and supports community well-being. |
218 | 6998 | Project evaluation | NoPoverty | Project Evaluation Method is defined as an application for assessing various goods and services using methods spanning a large array. This program enables organizations to be able to judge the performance, prospects, and feasibility of products according to highlighting criteria like scope, value stream, scalability, productivity, industrial efficiency, and adaptability. The technology enables enterprises in a choice of industries to improve decision making, proceed with optimizations, and increase the performance regarding their products and services. Scalability and industrial efficiency ensure the business economies and operational advantages. Meanwhile, adaptation assures the adjustment of the assessment according to varied business contexts. By identifying scope and value stream, organizations can find opportunities for expansion, reducing wastage, and better-serving customers. The Project Evaluation Method proves itself as an important tool for any organization looking to maximize the lifecycle of its goods or services because it allows for continuous development and improvement by the organizations. The program provides a data-driven strategy for business success and sustainability optimization, whether applying it to the introduction of new items, improvement of old services, or optimization of operations. |
219 | 6999 | Aero Aids | GoodHealthAndWellBeing | Our Project presents a potential solution to the logistic challenges of AID delivery Transport (i.e. Medical Supplies, Organs, Blood Bottles, and Emergency Relief Packages) by implementing a fully Autonomous UAV with a complex payload dropping mechanism, because UAVs are immune to traffic delays, have low overhead costs, and can go where there is no passable roads, ensuring best safety standards. |
220 | 7000 | Pipe Profiler | IndustryInnovationAndInfrastructure | Our solution features a robotic crawler with laser technology that generates precise 3D profiles of large-caliber pipes and barrels. This innovation enables cost-effective maintenance, reduces material wastage, and helps industries maintain high-quality standards. It supports sustainable practices and provides low-cost engineering solutions, driving efficiency across multiple sectors. |
221 | 7001 | InsuEase | GoodHealthAndWellBeing | Managing diabetes through daily insulin injections can be painful, inconvenient, and discourage patient compliance. Our innovative microneedle patch offers a painless, easy-to-use solution for insulin delivery. Designed for efficient absorption and enhanced comfort, it eliminates the need for syringes, reducing pain and fear. With its potentially scalable design, it can refine diabetes care, improving lives and creating a patient-centric healthcare product. |
222 | 7004 | EcoPave | SustainableCitiesAndCommunities | Eco Pave is an innovative startup addressing the dual challenges of tire waste management and sustainable infrastructure development. Each year, millions of tires are discarded, posing severe environmental hazards. Eco Pave transforms this waste into crumb rubber, which is blended with asphalt to create rubberized asphalt—a durable, cost-effective, and eco-friendly road-building material. This solution not only diverts tires from landfills but also enhances road performance by improving durability, reducing maintenance needs, and minimizing noise pollution. Rubberized asphalt is highly resistant to cracking and rutting, ensuring longer-lasting roads under heavy traffic conditions. Eco Pave’s approach aligns with global sustainability goals, promoting a circular economy while reducing harmful emissions and conserving resources. By partnering with recycling facilities and construction stakeholders, we deliver a scalable and environmentally conscious alternative to traditional asphalt, paving the way for stronger roads and a cleaner planet. |
223 | 7005 | Seizure Detection | GoodHealthAndWellBeing | Epilepsy affects millions globally, creating a need for reliable, real-time seizure detection systems. This project focuses on implementing Support Vector Machine (SVM) on a low-cost Field Programmable Gate Array (FPGA) to efficiently classify EEG signals in real-time. FPGAs offer the advantage of low power consumption and high-speed processing, making them ideal for portable and wearable medical devices. This solution aims to provide a cost-effective and scalable platform for continuous seizure monitoring, enhancing the overall management of epilepsy. |
224 | 7006 | Secureet | GoodHealthAndWellBeing | SafeWear is a smart wearable security device tailored for women's safety. It integrates GPS tracking, heartbeat monitoring, and an SOS mechanism with a mobile app. It ensures real-time monitoring, emergency alerts, and self-defense capabilities, addressing vulnerabilities and ensuring peace of mind in daily life. |
225 | 7009 | CancerNanoTech | GoodHealthAndWellBeing | Cancer is a leading cause of death, with challenges in detection and treatment. Nanotechnology offers advanced solutions. Boron nitride quantum dots (BNQDs) provide fluorescence for bioimaging and neutron capture therapy. Integrating BNQDs with gold nanoparticles (AuNPs) enhances imaging, radiotherapy, and therapy precision. This hybrid system enables effective multimodal cancer treatment and diagnostics. |
226 | 7010 | EcoLandfill | ResponsibleConsumptionAnd Production | This project addresses Pakistan’s critical e-waste challenge by designing specialized landfills with graphene-based filtration to mitigate lead-acid battery contamination. It integrates innovative recycling designs, a circular economy model, and policy frameworks to reduce environmental hazards, protect public health, and promote sustainable waste management practices in industries like telecom. |
227 | 7011 | Characterization and optimization of indigenous lipase producing microorganisms | IndustryInnovationAndInfrastructure | Exploring indigenous microorganisms for lipase production. Selecting isolates exhibiting lipase activity further screened for their potential to produce enzymes. Optimization and characterization of isolates for thermal stability, enzyme production and other growth requirements. Employing them in biotechnological application for a sustainable environment. |
228 | 7012 | SCOBY MEMBRANE | CleanWaterAndSanitation | Water filtration is a critical process for ensuring access to clean and safe water, addressing challenges like contamination from heavy metals, pathogens, and other pollutants. Among various filtration technologies, ultrafiltration (UF) membranes are widely used due to their ability to remove fine particles and microorganisms. However, traditional UF membranes, often made from Poly Ether Sulfone (PES), are expensive, prone to fouling, and environmentally unsustainable due to their non-biodegradable nature. To address these issues, this project explores Symbiotic Culture of Bacteria and Yeast (SCOBY) membranes as a sustainable and economical alternative. SCOBY membranes, derived from kombucha fermentation and treated with 0.3% H₂O₂, exhibit excellent permeability and are both renewable and biodegradable. Further enhancement through grafting with tannic acid improves their hydrophilicity, heavy metal ion binding, antimicrobial properties, and mechanical strength. This innovative approach to water purification provides an eco-friendly, cost-effective solution to the limitations of current UF membranes, aligning with global goals for clean water access (SDG 6) and climate action (SDG 13). |
229 | 7013 | RainPure | CleanWaterAndSanitation | “RainPure” offers a natural water purification tablet using materials like moringa seeds and neem to make rainwater potable. Designed for low-cost, easy use, it targets waterborne diseases and advances sustainable resource management, benefiting underserved communities and supporting environmental goals. |
230 | 7014 | Printed Structures | SustainableCitiesAndCommunities | Printed Structures leverages 3D Concrete Printing technology to revolutionize construction by creating sustainable and efficient concrete structures. By optimizing mix designs and geometries, the project reduces labor costs, minimizes material wastage, decreases carbon emissions, and shortens construction time, paving the way for greener, more cost-effective prefabricated modular systems. |
231 | 7015 | Ecopop (An Algae-based nicotine free sedative chewing gum) | ResponsibleConsumptionAnd Production | Millions of people globally are trying to quit smoking, but existing nicotine replacement therapies (NRT) often rely on nicotine, keeping users dependent on the substance. Many existing stress relief pills or supplements are chemically synthesized. Conventional chewing gum bases are often made from synthetic polymers, essentially plastic, which contribute to environmental litter since they do not decompose easily. Many people have a habitual need for oral stimulation through chewing, whether it’s due to stress, quitting smoking, or simply a nervous habit. There is an increasingly growing need for natural health and wellness solutions. This is a natural algae based solution that is nicotine free but has the same sedative effect as a cigarette, it can promote healthy lifestyles as well as sustainability |
232 | 7016 | Aero Inertia | IndustryInnovationAndInfrastructure | Our project, Test Rig for Measurement of Moment of Inertia of UAVs, focuses on developing a precise and efficient system to measure the moment of inertia of unmanned aerial vehicles using the bifilar pendulum method. This rig ensures accurate inertia data crucial for stability and control analysis, aiding UAV design and performance optimization. The solution is cost-effective, user-friendly, and tailored for aerospace applications. |
233 | 7017 | EcoBlock | SustainableCitiesAndCommunities | EcoBlock combines AI and recycled EPS to create lightweight concrete blocks with optimized strength and reduced environmental impact. Using AI-based modeling, we maximize performance while minimizing the carbon footprint, aligning with SDGs for climate action, innovation, and sustainable infrastructure. |
234 | 7018 | Foot Operated Sink | GoodHealthAndWellBeing | The foot-operated sink mechanism allows users to control water flow using a foot pedal, reducing hand contact and minimizing germ spread. Ideal for high-risk public spaces like hospitals and restaurants, this solution promotes hygiene and safety while maintaining ease of use. |
235 | 7019 | AxiaLearn AI | QualityEducation | AxiaLearn is a personalized study tool designed to make learning engaging and rewarding. By adapting to each learner’s pace and needs, it combines gamified elements, interactive quizzes, and dynamic challenges to transform studying into a productive experience. With features that promote long-term retention and a supportive learning journey, AxiaLearn helps students stay motivated, focused, and confident in achieving their goals |
236 | 7020 | Suitability Scout | IndustryInnovationAndInfrastructure | Suitability Scout leverages large language models (LLMs) and geospatial tools to automate site suitability analysis for industries and businesses. This innovative solution helps users identify optimal locations for factories, offices, and retail outlets by analyzing proximity to resources, market accessibility, and infrastructure. Users interact through a conversational chatbot, inputting their needs in natural language, such as "Find the best site for a retail store." The system dynamically fetches and analyzes geospatial data, applying multi-criteria decision analysis to generate suitability maps and recommendations. By simplifying complex GIS workflows, Suitability Scout empowers businesses to make informed location-based decisions efficiently. |
237 | 7022 | Integrating Radar, Machine Learning, and Computer Vision for Fast-Moving Object Detection | IndustryInnovationAndInfrastructure | This project replicates Israel's Iron Dome system while integrating radar, machine learning, and computer vision. It detects, tracks, and classifies fast-moving aerial objects in real time, offering enhanced precision and responsiveness. Designed for surveillance, air defense, and critical infrastructure protection, it showcases a cutting-edge fusion of technologies to ensure safety in high-risk environments. |
238 | 7023 | Campus Connect | DecentWorkAndEconomicGrowth | This project introduces a job-posting application specifically designed for university students, aimed at creating a platform where students can seek academic, professional, or income-generating opportunities within the university community. Faculty members will also be able to leverage the platform to find capable students for various academic and administrative tasks, benefiting both parties and contributing to the university's academic community fostering a mutually beneficial ecosystem and promoting collaborative learning. This initiative has the potential to address the challenges posed by Pakistan's economic conditions, offering students an accessible way to supplement their education and improve their career prospects by serving as a stepping stone for students to develop entrepreneurial skills, contributing to their overall growth and preparedness for the professional world. |
239 | 7024 | Eco Shield | CleanWaterAndSanitation | This project focuses on developing TiO₂-based multifunctional coatings with photocatalytic properties for environmental purification and protective applications. The coatings can degrade pollutants in air and water, create self-cleaning surfaces, and provide corrosion and wear resistance. With applications in clean energy, water treatment, and industrial protection, this solution addresses global environmental challenges. |
240 | 7025 | Unita Con Amor | DecentWorkAndEconomicGrowth | we made this project because we believe that resources should be use naturally whether for fragrances as well. we used completely natural ingredients and results in having a great fragrance. |
241 | 7026 | PROGRESS MONITORING OF HIGH-RISE BUILDINGS USING AI AND 360-DEGREE CAMERAS | IndustryInnovationAndInfrastructure | Integrating AI with 360-degree cameras, our project automates high-rise building progress monitoring through real-time object detection, volume calculations, and data visualization. This innovative system ensures accuracy, reduces manual effort, and enhances decision-making, offering a scalable, cost-effective solution to modernize construction management and streamline project tracking. |
242 | 7027 | Ehsaas | GoodHealthAndWellBeing | Ehsaas is a home healthcare platform designed to connect patients with qualified nurses, offering affordable and reliable in-home care. By leveraging technology, Ehsaas aims to meet the growing demand for healthcare solutions in Pakistan, particularly for busy families and individuals in remote areas, ensuring accessible and compassionate care. |
243 | 7028 | SMARTEND | IndustryInnovationAndInfrastructure | The construction industry, a vital sector of global economies, often suffers from inefficiencies, opacity, and corruption in its tendering processes. These issues lead to distrust, financial losses, and compromised project outcomes. SMARTEND, a blockchain-backed e-tendering system, aims to revolutionize the tendering ecosystem by leveraging blockchain technology to ensure transparency, security, and efficiency. This innovative platform facilitates the creation, submission, evaluation, and awarding of construction tenders through a decentralized, tamper-proof system. SMARTEND employs blockchain technology to establish a decentralized ledger that records every transaction and interaction in the tendering process. This ensures data integrity, making it impossible for unauthorized parties to alter or manipulate tender documents and bids. The system's smart contracts automate key processes, such as bid submission deadlines, evaluation criteria, and award notifications, reducing human intervention and the likelihood of bias or errors. By fostering a transparent and secure environment, SMARTEND enhances trust among stakeholders, including contractors, consultants, and clients. One of SMARTEND’s key features is its ability to address transparency issues by offering real-time tracking of tender submissions and evaluations. Each tender process is recorded immutably on the blockchain, ensuring accountability and providing an auditable trail of all decisions. The platform also incorporates advanced encryption protocols to safeguard sensitive data, maintaining confidentiality while ensuring compliance with regulatory standards. SMARTEND also tackles inefficiencies by integrating a user-friendly interface for seamless interaction and providing real-time analytics to aid decision-making. By digitizing and automating tender processes, the platform reduces paperwork, processing times, and administrative costs. Furthermore, its decentralized nature eliminates reliance on intermediaries, resulting in faster, more cost-effective tendering operations. In the context of Pakistan’s construction industry, where corruption and inefficiencies are prevalent, SMARTEND holds transformative potential. By fostering trust and fairness in tendering, the platform can encourage broader participation from both local and international contractors, enhancing competition and improving project quality. Additionally, the use of cryptocurrency or digital tokens for transactions could facilitate cross-border payments, further streamlining the tendering process. SMARTEND not only addresses long-standing challenges in construction tendering but also sets a benchmark for transparency and efficiency in the industry. By leveraging the power of blockchain, it represents a paradigm shift toward a more secure, equitable, and technologically advanced tendering framework. This system has the potential to reshape the construction industry by building trust and ensuring the successful execution of projects. |
244 | 7029 | ElectroSpin | ClimateAction | This idea introduces a sustainable e-cycle solution for Pakistan, addressing traffic congestion, air pollution, and energy shortages. With solar powered charging and IoT integration, the e cycle offers a clean, affordable transport option for short-distance travel and last-mile connectivity, promoting eco-friendly mobility and reducing dependence on fossil fuels. |
245 | 7031 | Energy Piles | AffordableAndCleanEnergy | Energy piles serve as dual-purpose structural components, providing support while conserving energy. This project explores factors influencing system efficiency, focusing on geography, climate, geotechnical conditions, and coolant types. By analyzing these parameters, the study aims to optimize energy conservation and enhance the multifunctionality of piles. |
246 | 7032 | SmartShield | IndustryInnovationAndInfrastructure | This project introduces a cost-effective, advanced intrusion detection system tailored for small businesses. Leveraging real-time packet capture and cloud-based anomaly detection, it provides robust network monitoring and actionable alerts. The solution minimizes cyber threats, reduces complexity, and enhances operational resilience for small enterprises. |
247 | 7033 | MEMO(Memory Enhancement Mobile Organizer) | GoodHealthAndWellBeing | Our project is an app designed to help Alzheimer’s patients and their caregivers manage daily routines, stay connected, and improve quality of life. The app has two dashboards—one for patients and one for caregivers—to facilitate easy communication, provide medication reminders, and support health monitoring. |
248 | 7034 | TeleCardio | GoodHealthAndWellBeing | TeleCardio is a compact, AI-driven cardiac monitoring device designed for the early detection of heart conditions. It offers real-time analysis of ECG and SpO2, facilitating access to affordable healthcare for underserved communities. Utilizing advanced hardware and intelligent algorithms, the device provides essential insights that minimize the need for hospital visits and enhance the accessibility of cardiac care. |
249 | 7035 | SatGuard & Navigation | IndustryInnovationAndInfrastructure | It's the age of precision and security; the introduction of Global Navigation Satellite Systems (GNSS) into advanced encryption technology represents a high-powered solution in terms of secure communication and navigation. This project has its scope in the design and development of a multi-GNSS receiver system, integrating Galileo, GPS, and BeiDou, in terms of signal processing at an optimized about 88 MHz bandwidth. It's improved with a specialized algorithm for encrypting signals, ensuring secure and tamper-proof communication in critical environments. By empowering accurate navigation while safeguarding the integrity of communication signals esp. in the military applications., this project represents a great step forward in both civilian and defense sectors, providing reliable, secure, and efficient navigation services for a wide range of applications. |
250 | 7036 | Cellulase optimization | IndustryInnovationAndInfrastructure | Abstract: Introduction: Cellulose, the most abundant natural polymer on Earth, is a complex carbohydrate integral to plant cell walls. The hydrolysis of cellulose into fermentable sugars and other intermediates for higher value products is an essential step of many biotechnological processes. The hydrolysis of cellulose into glucose is facilitated by specific enzymes called cellulases. Cellulases have an important role in the breakdown of cellulose. They are extensively utilized in industries including food processing, textiles, and detergents. Despite this, cellulase production cost is still an industrial problem. Identifying fast-growing and economically-environmentally friendly cellulase producers is a good approach to minimize the cost of enzyme production and improve the yield of enzymes. In this study, we isolated a bacterial strain capable of producing cellulase from garden soil. The research emphasized optimizing chemical and physical conditions to maximize enzyme output. Objectives: To identify and isolate a potential cellulase-producing microorganism from garden soil. To explore eco-friendly and cost-effective methods for cellulase production using fast-growing microorganisms. To explore eco-friendly and cost-effective methods for cellulase production using fast-growing microorganisms. Materials and Methods: Sample Collection Soil samples were collected from a garden to isolate potential cellulase-producing microorganisms. Microorganisms were isolated using serial dilution and plating techniques. Screening for cellulase production was performed using specific agar media containing cellulose as the sole carbon source. Zones of hydrolysis around colonies were measured to identify cellulase producers. Optimization of Production Parameters The chemical and physical conditions influencing cellulase production were systematically optimized. Pyhsical parameters such as pH, temperature, incubation time and chemical parameters like substrate concentration, carbon sources, nitrogen sources and salt concentration were varied to determine their impact on enzyme yield. Substrate Preparation and Enzymatic Degradation Carboxy methyl cellulose (CMC) was used as substrate. The bacterial strain’s ability to degrade substrates was evaluated by measuring the release of reducing sugars using standard assays (DNS method). Enzyme Assay The dinitrosalicylic acid (DNS) method was used to measure cellulose activity. Reducing sugars released by the cellulase activity were quantified using glucose as standard. Data Analysis Experimental results were analyzed statistically to determine the significance of the optimization process. Results: The optimum temperature for the incubation was 40 °C and the ideal cellulase activity was recorded at pH 7. Enzyme production was optimum at 72 hours of incubation period. Higher cellulase activity was observed when bagasse (2%), CMC (1.5%), wheat bran (4%), and sawdust (4%) were utilized as carbon sources. Among nitrogen sources, ammonium sulfate (4%), yeast extract (4%), urea (3%), and peptone (1%) demonstrated optimal yields for cellulase production. Cellulase production increased dramatically when produced under these optimized conditions. Conclusion The aim of the present work was to isolate and identify a high cellulase producing bacteria from soil. This information of optimization regarding physical and chemical parameters has enabled the ideal formulation of media composition for maximum cellulase production. Molecular identification of newly isolated bacterial strain, characterization purification and immobilization of cellulase will also be done in further for betterment of enzyme. Keywords CMC, Cellulase production, DNS method, Optimization. |
251 | 7037 | MULTIFUNCTIONAL HYDROGEL SPRAY | GoodHealthAndWellBeing | The growing demand for advanced healthcare solutions has led to innovative research into biocompatible and multifunctional materials. Among these, hydrogels have emerged as a key focus. Hydrogels are three-dimensional, water-absorbing polymeric networks that mimic the extracellular matrix, making them highly suitable for biomedical applications. Their ability to retain moisture, provide a protective barrier, and deliver bioactive compounds makes them especially promising for wound healing. This project introduces a novel sprayable hydrogel composed of biopolymers, antimicrobial peptide-loaded chitosan nanoparticles, and naturally derived pigment as a pH biosensor. The hydrogel formulation leverages natural, bioactive compounds for both therapeutic and diagnostic benefits. Chitosan nanoparticles, loaded with antimicrobial peptides, provide targeted antibacterial activity to combat wound infections. Additionally, the naturally derived pigment, enables pH-based wound monitoring through visible color changes, offering real-time feedback on the healing process. The sprayable nature of this hydrogel ensures ease of application, making it user-friendly for both healthcare professionals and patients. Unlike traditional dressings, which may be difficult to apply on irregular or sensitive wound surfaces, this formulation can be evenly distributed as a fine mist, ensuring complete coverage without causing additional discomfort. This feature also reduces the risk of contamination and promotes efficient use of the material. The eco-friendly and cost-effective hydrogel offers a dual-function system, combining wound healing and monitoring in a single solution. By utilizing natural biopolymers and pigments, it minimizes environmental impact while delivering superior therapeutic outcomes. This innovative approach not only addresses challenges in wound management but also provides a sustainable alternative to conventional wound care solutions. |
252 | 7038 | Bioremediation of Textile Dyes | CleanWaterAndSanitation | This project investigates the sustainable degradation of textile dyes using bioremediation employing immobilized bacterial cells. Because textile dyes are poisonous and challenging to remove using traditional methods, textile dyeing operations greatly contribute to environmental contamination. By improving the stability and effectiveness of microbial systems in degrading complicated dye compounds, the use of immobilized bacteria presents a possible substitute. This method seeks to increase the durability and efficacy of the bioremediation process by immobilizing particular bacterial strains that are known for their capacity to degrade dyes onto a variety of support materials. In order to support environmental conservation and the circular economy in the textile industry, this project focuses on improving immobilization techniques, measuring degrading efficiency, and assessing the possibility for large-scale application in wastewater treatment. |
253 | 7039 | SaferSight Surveillance System | PeaceJusticeAndStrongInstitutions | SaferSight is a security system that employs advanced AI technology for continuous real-time monitoring, significantly improve public safety by quickly detecting illegal activities and weapons. Utilizing a deep learning model, he system ensure fast intervention through instant notifications, strengthens authorities to preemptly address potential security threats. Moreover, users will be able to ask natural language queries about the particular video to the system. This interactive approach empowers user to gain deeper insights from the surveillance feed, facilitating efficient monitoring, identifying and tracking of the events occurring in the video footage. |
254 | 7040 | CyberRange Automation | IndustryInnovationAndInfrastructure | This project, Cyber Range Infrastructure Automation as Code for CTFd on OpenStack, streamlines the deployment and management of cybersecurity training environments. By integrating OpenStack APIs with CTFd, it automates provisioning, scaling, and cleanup, reducing manual effort and operational costs. Designed for CTF events and training, it ensures scalability, efficiency, and seamless operation. |
255 | 7041 | Defense Monitoring | PeaceJusticeAndStrongInstitutions | This project presents an innovative approach to automated detection of construction and buildings using satellite imagery and change detection techniques. Leveraging high-resolution satellite imagery from timeline. This project employs machine learning algorithms and image processing techniques to identify changes in land and detect new construction and buildings. The proposed methodology utilizes a combination of spectral and spatial features to accurately detect changes and classify them as construction or non-construction activities.It is intelligence gathering project to be used by defense sector |
256 | 7042 | Entrepreneur Growth Guide | DecentWorkAndEconomicGrowth | The Entrepreneur Growth Guide project supports Karachi's small businesses and locals by connecting them with mentors for strategic guidance and tailored growth solutions. |
257 | 7043 | Bacterial cellulase | IndustryInnovationAndInfrastructure | This study isolated cellulase-producing bacterial strains (DM1, DM2, DM3) from soil using serial dilution, streak plate, and Congo red staining methods. Cellulase production was performed using CMC as a substrate, and enzyme activity was measured via the DNS method. Results showed DM1 had the highest activity, highlighting its potential for sustainable cellulose degradation and industrial applications. |
258 | 7045 | Sustainable Water Drainage | CleanWaterAndSanitation | This exposure has been made worse by the effects of urbanization in increasing the concentration and frequency of storms, flooding, water pollution, and erosion associated with climate change. Conventional systems of storm drain networks do not adequately offer a solution to these issues. The purpose of this project is the design of a sustainable storm waste collection and drainage system with focus on use of recycled plastics and other products, environmentally friendly and contributes to water table retention. |
259 | 7046 | Knowledge Bridge | QualityEducation | Knowledge Bridge addresses knowledge loss in organizations due to senior staff departures. Using Generative AI and Retrieval-Augmented Generation (RAG), it creates a chatbot to transfer critical insights from senior employees to junior staff. This ensures seamless knowledge retention, efficient onboarding, and enhanced operational productivity, fostering a continuous learning environment. |
260 | 7048 | Drive Able | ReducingInequality | With 1.3 billion people worldwide living with disabilities, mobility remains a key challenge for those with lower limb paralysis. The System replaces traditional foot pedals with hand-operated controls, enabling independent driving. This innovation promotes accessibility, autonomy, and improved quality of life for a historically underserved community. |
261 | 7049 | Green Grill Burgers (Plant Based Meat Patties) | GoodHealthAndWellBeing | Green Grill Burgers is a plant-based meat alternative designed to promote better health and sustainability. As global health concerns shift towards non-communicable diseases such as heart disease, obesity, and type 2 diabetes, Green Grill offers a solution that aligns with SDG 3: Good Health and Well-being. This product is particularly beneficial for individuals with hyperlipidemia (high cholesterol levels), a condition that significantly raises the risk of cardiovascular diseases. By replacing traditional meat with a plant-based option, Green Grill Burgers help reduce the intake of saturated fats and cholesterol, two major contributors to elevated blood lipid levels. Green Grill Burgers are crafted from nutrient-dense plant ingredients, offering a cholesterol-free, lower-fat alternative to animal-based burgers. This makes them an ideal choice for individuals managing hyperlipidemia, as well as those seeking to adopt healthier dietary habits. Plant-based proteins, fiber, and healthy fats found in Green Grill contribute to improved heart health, better digestion, and overall well-being. These benefits support SDG 3’s goal of reducing the prevalence of diet-related chronic diseases and improving the quality of life for individuals across the globe. Furthermore, Green Grill Burgers are part of a larger movement towards sustainable food choices. The environmental impact of traditional meat production—contributing to greenhouse gas emissions, land degradation, and water usage—is a significant factor in global climate change. By offering a plant-based alternative, Green Grill directly contributes to SDG 12: Responsible Consumption and Production, encouraging consumers to make environmentally conscious choices that benefit both their health and the planet. In conclusion, Green Grill Burgers offer a nutritious and sustainable solution to improving health outcomes, particularly for those with hyperlipidemia. By providing a healthier alternative to traditional meat, Green Grill supports the global effort to reduce the burden of diet-related diseases, foster well-being, and contribute to environmental sustainability. This aligns with both health and sustainability objectives, making Green Grill a key player in the pursuit of SDG 3 and SDG 12. |
262 | 7050 | Foreign Object Debris (FOD) Detection System | Other | Foreign Object Debris (FOD) on runways poses a significant threat to aviation safety, potentially leading to costly damages and catastrophic accidents. This project aims to develop an AI-powered FOD detection system leveraging computer vision and the YOLOv5 model, known for its high-speed and accurate real-time object detection capabilities. The system uses a custom-trained dataset to identify FOD, pinpoint its location on the runway, and promptly alert authorities for rapid intervention. By integrating cutting-edge technologies, this solution addresses the critical need for efficient and reliable FOD detection, ensuring safer runway operations and minimizing risks to aircraft and personnel. |
263 | 7051 | Refractory Revolution | IndustryInnovationAndInfrastructure | Our project aims to increase the lifespan of refractory bricks used in the ladle furnace for steel production. This can be achieved through few microns thick nanoparticle coatings. These coated bricks sustain a higher number of heat cycles leading to a lesser number of ladle preparations per year and improved economic efficiency of the steel industry. |
264 | 7052 | Pavement Overlay Design Using ECC | IndustryInnovationAndInfrastructure | Aging roads demand sustainable rehabilitation methods to ensure durability and performance. This study explores Engineered Cementitious Composites (ECC) reinforced with PPE fibers for pavement overlays. ECC offers superior crack resistance, flexibility, and durability, ideal for prolonging pavement life. Through material testing and performance evaluation, this project highlights ECC's mechanical strength, cost-effectiveness, and environmental benefits compared to conventional materials. The findings aim to establish ECC as a sustainable solution for resilient, long-lasting road infrastructure, reducing maintenance needs and supporting eco-friendly construction practices. |
265 | 7053 | Wheatamin Nutritional Powder | GoodHealthAndWellBeing | INTRODUCTION: In Eastern medicine, nutritional powders are viewed as a way to maintain harmony and balance in the body. Their purpose is to refuel the body, boost vitality, and correct imbalances. Their natural use is for aiding digestion, supporting the immune system, promoting nutrition, or addressing specific health issues. In a scientific sense, nutritional powders are crucial as they provide a concentrated and convenient source of essential nutrients. The prevalence of osteoporosis continues to increase through the oldest old period due to menopause and loss of ovarian function. The development and maintenance of bone mass is the main role of nutrition in reducing the risk of osteoporosis through its impact on all of these fragility factors. METHODOLOGY: Roasted the almonds and lotus seeds. A fine powder of each ingredients was made separately with the help of mortar pestle. Then each ingredients separately sieved through a 40 mesh sieve. All the ingredients were mixed properly until a fine powder was obtained. RESULT & DISCUSSION: The nutritional powder undergo various tests to confirm their quality in terms of health. However, the nutritional powder nature and texture were rough and dry due to the presence of the Euryale ferox and Triticum aestivum. The Nature, consistency, and texture was nice and easily soluble in solvent. CONCLUSION: The primary goal of study “Preparation of nutritional powder by using the Eurayle ferox and Triticum aestivum and analysis of its nutritional status” is to fulfill the Satisfy customer needs and deliver the most Goods. This will significantly aid people in becoming healthy. Instantaneously as opposed to depending on other chemically products which are injurious to health. KEYWORDS: Nutritional powder, Triticum aestivum, Prunus dulcis , Eurayle ferox, osteoporosis, menopause. |
266 | 7054 | Composite Bumper | ClimateAction | This project focuses on replacing traditional plastic car bumpers with eco-friendly composite materials made from basalt and flax fibers. By using vacuum forming and a specific stacking sequence, the composite offers improved durability, impact resistance, and sustainability. This solution reduces plastic waste, supports eco-friendly manufacturing, and contributes to a greener automotive industry. |
267 | 7055 | TeleBotix Hand | GoodHealthAndWellBeing | This project develops a teleoperated robotic hand controlled by EMG sensors to enable precise, real-time movement through muscle signals. Using an Arduino microcontroller, the system translates muscle activity into hand motions, offering an affordable and adaptable solution for amputees, disabled individuals, and industrial applications, with potential for easy user adoption and accessibility. |
268 | 7057 | Fetus Health Management | GoodHealthAndWellBeing | The Fetal Health Monitoring System is an IoT-based device designed to improve prenatal care by providing continuous, real-time monitoring of fetal health. It integrates an Arduino microcontroller with sensors to track key parameters such as fetal heart rate, movement, and stress levels. Data is wirelessly transmitted to cloud platforms or mobile applications, enabling remote access for healthcare providers and expectant mothers. This system features real-time alerts for abnormal readings, a user-friendly mobile interface, and a wearable, non-intrusive design. A Doppler ultrasound sensor measures heart rate, accelerometers detect movement, and heart rate variability is used to assess fetal stress. Maternal temperature and environmental conditions are also monitored to ensure safety. Data is processed by the Arduino, which calculates averages, identifies anomalies, and triggers notifications. Wi-Fi modules enable integration with platforms like Thingspeak and Blynk for data visualization and interactive dashboards. Alerts for irregular heart rates, reduced movement, or stress indicators facilitate timely medical intervention. The system is portable, cost-effective, and accessible, particularly beneficial for use in rural or underserved areas lacking access to consistent medical care. Its alignment with the United Nations Sustainable Development Goal 3 (Good Health and Well-being) underscores its global relevance. Challenges such as sensor accuracy, battery efficiency, and device comfort are mitigated through careful calibration, power-saving modes, and ergonomic designs. Future enhancements include advanced sensors for ECG and oxygen monitoring, machine learning for trend analysis, and improved battery life for extended usage. The Fetal Health Monitoring System represents an innovative solution for prenatal care, leveraging IoT to empower healthcare providers and mothers with actionable insights to ensure fetal well-being. Its focus on real-time data, cost-effectiveness, and user-centric design makes it a transformative tool in maternal healthcare. |
269 | 7058 | ClimaBag | LifeOnLand | Our project addresses the lack of portable cooling solutions for outdoor use in hot climates. We are designing a lightweight, energy-efficient sleeping bag with a built-in HVAC system capable of both cooling and heating. Using vapor compression cycle technology, it ensures comfort and safety in extreme temperatures while being compact and affordable for practical everyday use. |
270 | 7059 | Chip Tag | IndustryInnovationAndInfrastructure | This project focuses on designing an Indigenous RFID Transponder Chip for animal tagging applications, adhering to ISO 11784/11785 standards. Operating at 132.4 kHz, the implantable chip enhances livestock tracking, reduces tampering, and ensures lifetime traceability. By replacing ear tags, it minimizes health risks, improves data collection, and supports sustainable livestock management, addressing SDG 2 (Zero Hunger) and SDG 12 (Responsible Consumption). |
271 | 7060 | Gull Eye | PeaceJusticeAndStrongInstitutions | This project involves the design and fabrication of an indigenous flapping-wing UAV inspired by the seagull. Combining biomimicry with engineering principles, the UAV is optimized for covert reconnaissance. It aims to achieve efficient flight, low acoustic signature, and robust maneuverability. |
272 | 7061 | Barium extraction from its ores | IndustryInnovationAndInfrastructure | Barium is a highly valuable metal whose compounds are being used in various industrial applications. From being used in oil drilling to electronics, pigments and paints, glass industry, its compounds have huge applications. Since its extraction methods usually involve carbothermal heating of barite ore that produces green house gases and consumes a lot of heat, so there is a need to develop a chemical method to extract the barium from its ores using cheap chemicals and techniques. Our project is to design a novel method of extraction of barium that will not only be greener but also cheap. |
273 | 7062 | Eco Charm Creation | ClimateAction | Our eco-friendly paper products directly address the significant environmental challenges posed by traditional paper production, such as deforestation, excessive water usage, and waste generation. Traditional paper manufacturing is highly resource-intensive, contributing substantially to deforestation and the resulting loss of biodiversity. The process requires vast amounts of water and energy, and the waste generated often ends up in landfills, leading to increased pollution and greenhouse gas emissions. With rising global awareness of these environmental issues, there is a growing demand for more sustainable alternatives that can reduce the ecological footprint of paper production. Our business offers a solution by transforming organic waste materials, which would otherwise be discarded, into high-quality, eco-friendly paper products. By diverting these materials from landfills, we not only reduce environmental pollution but also lessen the demand for virgin wood pulp, thereby contributing to the preservation of forests. Our innovative production process is designed to use significantly fewer resources compared to traditional methods, leading to a substantial reduction in water and energy consumption. Furthermore, our paper is both biodegradable and recyclable, ensuring that it has a minimal impact on the environment throughout its lifecycle. This approach not only helps to reduce deforestation but also supports the principles of a circular economy by repurposing waste materials that would otherwise contribute to landfill accumulation. Our solution is aligned with global sustainability goals, promoting a transition towards more responsible consumption and production practices. By offering products that are both functional and environmentally friendly, we cater to a broad spectrum of customers, including environmentally conscious consumers, businesses, and educational institutions, all of whom are increasingly seeking sustainable options. Our products stand out in the market by providing a practical alternative that addresses the environmental problems associated with traditional paper production. Our eco-friendly paper offers a viable solution that benefits and contributes to a more sustainable future. The solution to reduce the impact of traditional paper production on the environment is to use recycled paper or tree-free alternatives like paper made from fruit peels. These alternatives help reduce the need for cutting down trees and minimize the harmful chemicals released during production. By choosing eco-friendly paper products, we can contribute to conservation efforts and reduce environmental pollution. eco-friendly and sustainable paper alternatives that reduce reliance on tree-based materials. This addresses the growing environmental concerns and aligns with the global push for sustainable practices KEYWORDS: waste management, sustainability, paper industry, biodegradability, eco-friendly |
274 | 7064 | Dengue Surveillance | GoodHealthAndWellBeing | Climate change and LULC shifts intensify dengue, the second most common vector-borne disease after malaria. A surveillance system using MODIS, GPM, and ML on 19 bioclimatic factors predicts dengue hotspots. IoT-enabled phone covers detect Aedes aegypti frequencies, sending real-time alerts to reduce outbreaks and improve public health |
275 | 7065 | Water conservation | SustainableCitiesAndCommunities | This project aims to explore innovative techniques in optimizing campus sustainability, focusing on water conservation at the National University of Sciences and Technology (NUST). In response to the rising demand for sustainable practices, this study will address the critical need for efficient water management within the university. The project will include a comprehensive watershed analysis and the rehabilitation of local lakes, which will inform the design of an effective water treatment plant. Ultimately, this initiative seeks to create a sustainable and optimized water distribution system that supports the university’s long-term water conservation goals. |
276 | 7066 | Smart Automatic Antenna Alignment system | IndustryInnovationAndInfrastructure | A novel IoT-based system utilizing sensors, motors, and AI algorithms to automate antenna alignment, ensuring optimal signal strength and quality. Enhancing wireless communication efficiency and reducing manual labor." |
277 | 7067 | Smart Interaction | IndustryInnovationAndInfrastructure | The "Smart Data Interaction with AI RAG" project explores intelligent interaction with data through an AI-driven Retrieval-Augmented Generation (RAG) approach. It aims to enhance data accessibility and user engagement via a seamless Angular-based login dashboard. |
278 | 7068 | High Density Concrete | IndustryInnovationAndInfrastructure | This study will examines the physical, mechanical, microstructural, and attenuation properties of high-density concrete exposed to gamma rays (Caesium 137 and Cobalt 60). For this purpose, heavy-density concrete containing different percentages of magnetite and dolomite aggregates will be developed and compared with ordinary concrete mixes. Concrete specimens will be evaluated for density loss, compressive strength, tensile, shear and gamma-ray attenuation, Half Value Layer (HVL), and Ten Value Layer (TVL) along with microstructural properties determined by scanning electron microscopy. The development of high density concrete using magnetite and dolomite has diverse and critical application across several industries where radiation protection is a key concern. The project has the potential to revolutionize safety standards in nuclear energy, medical treatment facilities, waste management and even spaces exploration, contributing significantly to global efforts in safeguarding both human life and environment. |
279 | 7070 | ETL-Free Solar Energy | AffordableAndCleanEnergy | Our project focuses on developing an All Oxide Solar Cell to provide an affordable, sustainable energy solution for underserved communities. The design incorporates cost-efficient deposition techniques, such as electrodeposition for Cu₂O and dip coating for NiO. Encapsulation ensures durability and longevity. The device aims to combat energy poverty, lower costs, and promote renewable energy accessibility worldwide. |
280 | 7071 | MoCap | IndustryInnovationAndInfrastructure | Our objective is to create an affordable wearable motion capture system powered by Inertial Measurement Unit (IMU) sensors. This cutting-edge suit is designed to meet the diverse needs of developers, gamers, animators, and even professionals in the health and sports industries. By providing easy motion tracking, it offers invaluable assistance in any scenario where motion capture is essential. |
281 | 7072 | AlgaPlast | ClimateAction | AlgaPlast is the women led startup that manufactures eco-friendly, biodegradable plastic, an alternative to petroleum based plastic. UN states 350 million metric tons of plastic waste is produced each year & 3.3 million tons is the plastic waste of Pakistan. Globally, just 9% plastic waste is managed. To protect our climate, it's a time for clean & green revolution. |
282 | 7073 | Mobile Funduscopy | GoodHealthAndWellBeing | Our project uses AI-assisted mobile fundoscopy to detect retinal disorders like diabetic retinopathy and glaucoma. With a smartphone lens and a trained deep learning model, it provides affordable, accessible, and near real-time retinal screening, bridging the gap in early diagnosis in low-resource areas. |
283 | 7074 | Recycled Resilience | IndustryInnovationAndInfrastructure | Earthquakes are natural disasters that occur when two plates of the Earth's crust suddenly shift and release energy. This sudden release creates seismic waves that make buildings sway and vibrate, putting stress on their structures. The design and construction of a building are crucial in determining its ability to withstand seismic activity. Buildings with poor foundations, weak materials, or improper structural systems are more susceptible to earthquake damage. When exposed to the sudden lateral forces produced by seismic waves, even modern buildings and bridges can fail completely and collapse, crushing the people in, on, and around them. The problem has worsened as more people live in urban environments and as structures have grown. Over the past eight years, more than 11,500 houses have been destroyed in Pakistan, resulting in approximately 1,200 deaths and 1,600 injuries. These statistics are even more alarming on a global scale. Over the last few decades, architects and engineers have developed clever technologies to ensure that houses and skyscrapers bend but don't break during earthquakes. This approach allows building inhabitants to walk out unharmed and start recovery efforts. However, these specialized materials and designs increase construction costs. Globally, an estimated one billion tires are discarded yearly, and this waste flow is growing dynamically. Despite commitments to recycling and environmental responsibility, the problem of tire waste is escalating. This project aims to address both problems with an affordable and sustainable solution by using fully recycled waste tire blocks around the base of buildings and ceramic balls underneath. This design provides space for buildings to resist ground shaking during earthquakes. The rubber blocks damp oscillations, while the ceramic balls allow multi-directional movement of the entire foundation. Using software such as Solidworks for 3D CAD modeling and Ansys for structural and vibrational analysis simulations allows real-life prediction of the design's resilience. This innovative approach promises to enhance building safety and sustainability by leveraging recycled materials to mitigate the impacts of earthquakes. |
284 | 7075 | TALIM AI | QualityEducation | TALIM is an AI-based educational assistant designed to enhance learning and teaching experiences. It processes lecture materials to create a knowledge base, enabling students to clarify concepts and access personalized support. For instructors, it automates quiz generation, grading, and tailored assessments. TALIM promotes efficient workflows, active learning, and seamless student-teacher interactions. |
285 | 7076 | FiedShield | IndustryInnovationAndInfrastructure | This project integrates image processing into data loss prevention (DLP) systems, enhancing them to detect sensitive content in images. It employs federated learning to improve accuracy by leveraging models trained across organizations without sharing private data, ensuring security and compliance. |
286 | 7077 | Albedo-Optimized Thermal Shield Mortar for Heat-Resilient Structures | Other | The construction industry faces rising challenges in meeting the demand for sustainable, energy-efficient materials. High thermal conductivity in mortar increases heat transfer in structures, leading to higher cooling loads, energy costs, and CO₂ emissions. This study develops "Thermal Shield Mortar," a composite with thermal insulating materials to act as a barrier, reducing thermal conductivity and enhancing energy efficiency. Experimental results confirm improved thermal performance without compromising strength, supporting climate-resilient and cost-effective construction aligned with global sustainability goals. |
287 | 7078 | Scholastic Sanctuary/Sandbox | IndustryInnovationAndInfrastructure | The Scholastic Sanctuary is an innovative 3D digital platform designed to foster interactive learning and social engagement among users. The primary goal is to create a vibrant environment where users can explore, communicate, and showcase their creative ideas through user-generated content. The application targets a diverse audience, enabling users to create accounts, engage in real-time communication, and participate in collaborative experiences. Key features include user authentication, lobby creation for group interactions, and the ability to place virtual stalls where users can display their work. The platform also incorporates NPCs (Non-Player Characters) that provide information about upcoming events and workshops, enhancing the educational aspect of the experience. The Scholastic Sanctuary represents a novel approach to interactive learning by providing an engaging platform that encourages creativity and collaboration. By blending fun with educational opportunities, it aims to inspire users to discover new ideas and passions while building a sustainable ecosystem that promotes ongoing engagement. The project’s success hinges on its ability to deliver an immersive experience that meets the needs of its diverse user base while maintaining high standards of security and performance. |
288 | 7079 | Drone SoC | AffordableAndCleanEnergy | This project uses advanced machine learning to estimate the State-of-Charge (SoC) of drone batteries accurately. It ensures efficient power management, extended flight time, and reliable performance, addressing challenges in drone energy consumption and flight planning. |
289 | 7080 | SolClean | AffordableAndCleanEnergy | Solar panels suffer 30-50% efficiency losses due to dust accumulation, which traditional manual or mechanical cleaning methods fail to address effectively and sustainably. This project introduces an AI-driven automated cleaning system that enhances solar panel performance while conserving resources. Using image processing to monitor dust accumulation and machine learning algorithm to determine the optimal cleaning method either dry or water- based cleaning, to ensure efficient maintenance. The need based water-cleaning activation minimizes water usage, and solar power drives the entire system, aligning with environmental sustainability goals. Initial testing has demonstrated over 85% accuracy in detecting soiling levels, enabling precise cleaning decisions. The system efficiently reduces water consumption, while ensuring effective dust removal. By addressing limitations in traditional approaches, this solution promises a significant improvement in solar panel maintenance. The project's progress includes identifying necessary datasets, software tools, and equipment, paving the way for an eco-friendly and effective solution for maintaining solar panel efficiency. |
290 | 7081 | Foam Deform | ResponsibleConsumptionAnd Production | Polyurethane (PU) foams are essential in modern life, widely used in products such as mattresses, cushions, shoe soles, mats, and insulating materials. However, their non-biodegradability has led to increasing volumes of waste, contributing significantly to landfill challenges and environmental degradation. This project aims to tackle these issues by chemically recycling waste PU foams through a glycolysis process to recover high-value raw materials, specifically polyethers and toluene diisocyanate (TDI). These recovered materials can be reused in the production of new PU foams, reducing the need for virgin petrochemical resources and addressing waste management concerns. Glycolysis involves the depolymerization of PU foam, breaking it down into its original components under controlled reaction conditions. This project focuses on optimizing these parameters to achieve high yields of industrial-grade polyethers and TDI. Chemical characterization techniques such as Fourier-transform infrared spectroscopy (FTIR) and gel permeation chromatography (GPC) are utilized to ensure the recovered materials meet stringent industrial standards. Additionally, the recovered components are used to manufacture various types of PU foams, testing their quality and performance to confirm their feasibility for reuse. The ultimate goal of this initiative is to scale the process to a pilot facility capable of processing PU foam waste on an industrial scale. This sustainable approach not only mitigates the environmental impact of PU waste but also reduces the carbon footprint associated with the production of virgin polyethers and TDI, which are conventionally derived from energy-intensive petrochemical processes. By integrating recycled materials into the production cycle, this project supports a circular economy, addressing both waste reduction and resource conservation. The innovation offers a sustainable solution for managing PU waste while minimizing greenhouse gas emissions, aligning with global efforts to combat climate change and promote sustainable development. |
291 | 7082 | OvaEase Tea | GoodHealthAndWellBeing | OvaEase Tea is a specially formulated herbal tea designed to address the unique challenges of Polycystic Ovary Syndrome (PCOS). Made from natural ingredients like spearmint, cinnamon, and fenugreek, the tea supports hormonal balance, reduces inflammation, and enhances overall well-being. With PCOS affecting 1 in 10 women globally, affordable and effective solutions are critically needed, especially in underserved communities. OvaEase Tea is not only cost-effective but also easy to prepare, making it accessible to women of diverse socioeconomic backgrounds. Packaged in eco-friendly sachets, it can be seamlessly incorporated into daily routines, promoting sustainable health solutions. The product aims to empower women by providing a natural alternative to expensive medical treatments, complemented by awareness campaigns and endorsements from health professionals to maximize reach and impact. |
292 | 7083 | Nuttyshine Toothpaste | GoodHealthAndWellBeing | INTRODUCTION: Poor oral health may have a profound effect on general health. WHO recently released a global review on oral health, emphasizing that while populations in several countries have made significant progress toward better oral health, there are still issues on a global scale. Juglans regia leaves extract is potent antibacterial against oral pathogens and rich in phytoconstituents including phenols, flavonoids, and flavonols. MATERIALS & METHODS: The polyherbal toothpaste was formulated using Juglans regia leaves and other herbs extract. Other ingredients including calcium carbonate, sorbitol, glycerin and menthol were triturated well in mortar & pestle until a smooth, homogenous consistency of toothpaste was obtained. A randomized clinical trial was conducted involving 15 individuals across various age cohorts. RESULT & DISCUSSION: Results showed that Juglans regia leaves possess anti oxidant property significantly contributing to tooth whitening and prevention of halitosis. After the application of polyherbal toothpaste, all 15 volunteers got immediate breath freshening and tooth whitening effect. CONCLUSION: This research study demonstrated how well our polyherbal toothpaste worked to address common oral health problems by brightening teeth and improving breath. This toothpaste, which was designed to prevent the harmful effects of everyday oral exposure to bacteria, plaque, and stains, produced remarkable results in a matter of minutes, twice daily. It is the perfect solution for obtaining optimum dental health, confidence, and a radiant smile because of its natural ingredients and simple use. |
293 | 7084 | Bio-liquid Fertiliser | DecentWorkAndEconomicGrowth | To Address the increasing demand of Fertilizer Industry bio fertilizer such as sea weed and onion peel are being explored to improve soil fertility and encourage plant growth seaweed extract ,widely used for horticulturists, gardeners, farmers and orchardists.Similarly onion peel can be used to make organic fertilizer that is high in potassium, enabling plants to grow faster larger and yield more food. |
294 | 7085 | IOT Security | IndustryInnovationAndInfrastructure | This paper presents an IoT predictive security framework that leverages hidden Markov Models (HMMS) and Hybrid Intrusion Detection Systems (IDS), combining rule-based and anomaly detection techniques, to protect the IoT Fog Computing environment and mitigate the cyber threats imposed on IoT devices, this framework also ensures real-time threat detection and response using machine learning. This framework categorizes IoT devices as genuine, compromised, or counterfeit and utilizes advanced machine-learning methods to detect anomalies effectively. This project contributes to advancing IoT security by bridging existing gaps in predictive modeling, scalability, and real-time adaptability, ensuring a resilient and secure IoT-fog ecosystem. |
295 | 7086 | SELF-SENSING CONCRETE | IndustryInnovationAndInfrastructure | DEVELOPMENT OF SELF SENSING CONCRETE INTEGRATING SHORT CARBON FIBERS FOR STRUCTURAL HEALTH MONITORING USING MACHINE LEARNING |
296 | 7088 | GradeSync | QualityEducation | GradeSync is an AI-based platform designed to make online assessments easier and more effective. Teachers can upload course content, create assessments, and let the system automatically grade them using AI. What makes it unique is the personalised feedback it gives to students, helping them identify weak areas while also giving teachers class-wide insights to improve teaching. |
297 | 7089 | Map Chatterbot | IndustryInnovationAndInfrastructure | AI-Powered Automation of Cartographic Map Creation. This project will train a machine learning model for various map types, key cartographic essentials, and GIS data. The combination of AI and NLP will enable map creation with user and template inputs. |
298 | 7090 | Linguistical Decoding | PeaceJusticeAndStrongInstitutions | Linguistic decoding through EEG (electroencephalography) analysis, enhanced by artificial intelligence (AI), presents an innovative method for understanding language comprehension at the neural level. EEG captures brain activity in response to linguistic stimuli, offering a real-time window into the cognitive processes involved in language understanding. By integrating AI algorithms, this technology allows for advanced analysis of EEG data, enabling the detection of subtle patterns associated with language processing. The combination of EEG and AI offers a powerful tool for enhancing our understanding of how the brain decodes, processes, and produces language. In the context of anti-linguistic deception, this approach has the potential to revolutionize how we detect deception in communication. Linguistic deception often involves subtle manipulations of language that are difficult to identify through traditional methods, but neural patterns associated with deceptive speech or behavior can be detected using EEG analysis. AI models trained to recognize these patterns can offer real-time insights into whether an individual is being truthful or deceptive, providing a more accurate and objective measure than traditional lie detection methods such as polygraph tests. AI plays a critical role in analyzing the vast amount of data generated by EEG signals, helping to distinguish between genuine linguistic comprehension and manipulative or deceptive language. The neural signatures of deception—such as cognitive load, stress responses, and subtle emotional cues—can be identified and decoded by advanced AI algorithms, offering an unprecedented level of precision in linguistic analysis. This allows for more effective countermeasures against linguistic manipulation, both in security settings (such as interrogation or counterintelligence) and everyday communication, where detecting subtle deception can be of great value. The integration of AI and EEG in linguistic decoding also has broader implications for understanding the cognitive mechanisms behind language acquisition, processing, and comprehension. It can contribute to advancements in fields like psycholinguistics, neurolinguistics, and cognitive neuroscience, offering insights into how the brain’s neural networks support complex language functions. Moreover, this approach can be applied in clinical settings to assess language disorders, monitor cognitive development, and assist in rehabilitation for individuals with speech or language impairments. In conclusion, the fusion of EEG analysis, AI, and linguistic decoding represents a powerful frontier in both language comprehension and deception detection. As these technologies continue to evolve, their applications will likely extend across various domains, transforming how we understand language, cognition, and communication in general. |
299 | 7091 | chat with data | IndustryInnovationAndInfrastructure | Data extraction from databases often proves to be a exhausting and time-consuming task, using valuable resources within organizations. These challenges are particularly felt by data and business analysts, whose core responsibilities may be sidelined by the demands of database interaction by non tech department. ChatWithData focuses to streamline the user-database interactions. Using advanced and latest techniques, including but not limited to Large Language Model (LLM) and Langchain, alongside prompt engineering, our solution allows users to effortlessly chat with their databases using natural language without the knowledge of SQL. ChatWithData translates these queries into structured commands (sql queries), executing them seamlessly in the backend. The resulting output is presented in natural language on the frontend. Thus, bridging the gap between users and databases with efficiency and ease. |
300 | 7092 | Wake-Up Call | SustainableCitiesAndCommunities | Drowsiness detection systems have emerged as a crucial advancement in enhancing road safety and reducing the risk of accidents caused by fatigued drivers. These systems are specifically designed to monitor driver behavior, physiological signs, and eye movements to identify early indications of drowsiness. By leveraging advanced technologies such as facial recognition, machine learning, and real-time data analysis, these systems provide timely alerts to drivers, helping them maintain focus and avoid critical situations on the road. Driver fatigue has been identified as a significant factor in road accidents, particularly during long-distance travel and nighttime driving. Thus, integrating drowsiness detection systems into vehicles has the potential to save lives and reduce economic losses associated with traffic collisions. |
301 | 7093 | MAGLEV TRAIN | IndustryInnovationAndInfrastructure | Maglev train prototype designed to address Pakistan’s transportation challenges by providing a fast, eco-friendly, and efficient solution. Using electrodynamic suspension (EDS) and electromagnets, eliminating the need for expensive superconducting magnets, making it more cost-effective and easier to implement. Promising technology for reduced travel times, lower carbon emissions, and relief from traffic congestion, offering a sustainable alternative for the future of public transport in Pakistan. |
302 | 7094 | Current Meter | IndustryInnovationAndInfrastructure | This project aims to develop a low-cost current meter for measuring water velocity in natural and man-made channels. The device utilizes an Arduino-based system to measure the current generated by a submerged rotating fan, which spins in response to water flow. The generated current is recorded and processed by the Arduino board and converted into water velocity through a calibration curve derived from experimental testing. This approach ensures accurate velocity measurements at a fraction of the cost of commercially available current meters. The project offers an accessible solution for hydrological studies, river discharge calculations, and water resource management, particularly in resource-constrained setting. |
303 | 7095 | MedicFlow | Other | Our med-tech startup is revolutionizing healthcare with an AI-powered app that scans X-rays to detect abnormalities, highlights issues, and recommends medical consultation. It features a chatbot for health guidance, medication suggestions, and seamless warehouse-to-home medicine delivery. Complementing this are innovative hardware solutions like speech-to-text devices for the deaf and computer vision tools for the blind. |
304 | 7096 | Pneumonogram | GoodHealthAndWellBeing | This project is a web-based system that uses machine learning to detect pneumonia from chest X-ray images. Users upload an X-ray, and the system analyzes it with a trained model to deliver accurate predictions. Features include report viewing, printing, and optional storage for prediction history. |
305 | 7097 | liquid trees | ClimateAction | High emission levels in cities are destructive to human health and the climate. Liquid Trees are similar to Belgrade’s LIQUID3 and are photobioreactors containing microalgae that can clean the air by taking in CO2 and emitting oxygen. Small and sunny, they suit airborne high-emissions areas and dense, restricted zones such as terminals. Each 600L unit represent the amount of oxygen two trees produce. Ecological and versatile, they conform with international climate objectives, improving urban quality of life. |
306 | 7098 | Water Desalination | CleanWaterAndSanitation | This project addresses the question of effectively desalinating seawater using thermodiffusion by harnessing solar energy. The project aims at utilizing no membrane or filtration medium, thus solving the problem of chocked membranes and filters which are commonly used in desalination plants, while offering innovative approach of direct and indirect evaporative cooling to produce drinkable water. The demonstration unit exhibits the utilization of renewable energy for much optimized and environmentally friendly desalination system. |
307 | 7099 | Combustimize | IndustryInnovationAndInfrastructure | This project focuses on designing a low-cost, portable flue gas analyzer with a machine learning model to optimize combustion efficiency and ensure regulatory compliance. It provides real-time emissions monitoring, enhances equipment health via predictive diagnostics, and aids industries in reducing their environmental footprint. |
308 | 7100 | Edible spoon | SustainableCitiesAndCommunities | Edible spoons made from sorghum and rice flour offer a sustainable solution to plastic waste, decomposing in just 3-4 days compared to plastic's years-long degradation. Available in various flavors, they are ideal for desserts and health-conscious consumers. They reduce environmental pollution and support a greener future. Through rigorous physicochemical analysis, including testing for moisture, ash, fiber, and gluten content, and professional sensory evaluations, these spoons combine functionality, taste, and sustainability, making them a superior alternative to plastic, wooden, or paper cutlery. |
309 | 7102 | Offshore Wind Energy | AffordableAndCleanEnergy | Offshore wind energy has emerged as one of the most promising sources of renewable energy, with the potential to meet large-scale energy demands while reducing reliance on fossil fuels. Given the global push towards decarbonization, countries around the world are increasingly turning to offshore wind farms to generate clean, sustainable energy. Pakistan, with its strategic extensive coastline and an Exclusive Economic Zone (EEZ), holds vast potential to harness offshore wind energy to meet its energy needs, reduce its cabon footprint, and contribute to the United Nations Sustainable Development Goals (SDGs). |
310 | 7103 | Lane Detection | GoodHealthAndWellBeing | **Abstract:** The development of autonomous driving systems has gained significant attention in recent years, with an increasing emphasis on enhancing road safety, reducing human error, and improving transportation efficiency. This project aims to design and implement an automatic driving system with lane detection, utilizing computer vision and machine learning techniques to enable a vehicle to autonomously navigate within the road lanes. The core of the project involves two main components: **lane detection** and **vehicle control**. The lane detection module uses a camera or other vision sensors mounted on the vehicle to capture real-time images of the road. These images are then processed using advanced image processing techniques, including edge detection, thresholding, and Hough Transform, to identify the lane boundaries. The system utilizes OpenCV, a powerful computer vision library, to extract relevant features from the image and determine the position and orientation of the vehicle relative to the lane lines. The second component, vehicle control, involves designing algorithms that guide the vehicle to maintain its position within the detected lanes. Using the lane information from the detection system, the vehicle's steering, acceleration, and braking systems are adjusted accordingly. The control system ensures that the vehicle stays within the center of the lane and makes smooth adjustments for slight curves, preventing lane departures and enhancing safety. For the automatic driving system, a combination of artificial intelligence (AI) and machine learning models, such as Convolutional Neural Networks (CNNs), may be applied for more accurate and robust lane detection under various driving conditions, including challenging weather or road markings. Additionally, the system can be integrated with real-time sensor data from LIDAR, ultrasonic sensors, or GPS to improve the overall accuracy and performance. The project also focuses on addressing common challenges faced in autonomous driving systems, such as handling road irregularities, shadows, and varying lighting conditions. The outcome of this project is a functional prototype of an autonomous vehicle capable of detecting lane markings and controlling the vehicle's movement within those lanes. This system has significant potential for use in self-driving cars, smart cities, and advanced driver assistance systems (ADAS), contributing to safer, more efficient transportation solutions. Future work can expand this system to include obstacle detection and collision avoidance for fully autonomous driving. |
311 | 7104 | Low cost sustainable high performance concrete filled steel tubes | IndustryInnovationAndInfrastructure | This project aims to develop sustainable and cost-effective Concrete-Filled Steel Tubes (CFSTs) for the construction industry. By incorporating alternative materials like metakaolin and fly ash, we seek to enhance the structural performance of CFSTs in terms of strength, ductility, and crack resistance. Through experimental testing and finite element modeling, we will optimize CFST design for improved axial load-bearing capacity and buckling resistance. This research will contribute to sustainable construction practices in Pakistan and beyond. |
312 | 7105 | Kahan Jaun? | Other | "Kahan Jaun?" is a dynamic restaurant and travel guide tailored for Pakistani users, offering a personalized, community-driven platform that combines reviews, photos, and critiques to help users discover dining and travel destinations effortlessly. With the slogan "Guide on-the-go," the app empowers users to make informed decisions while exploring cities, dining out, or planning trips. Designed to act as a one-stop solution, it bridges the gap between user needs and accurate, locally-relevant information. |
313 | 7106 | SPARC | GoodHealthAndWellBeing | SPARC (Supportive Personalized Assistive Robotics for Care) is an AI-powered robotic arm designed for bedridden patients and elderly care. It leverages large language models (LLMs) for real-time voice command processing and a vision system for object recognition. Focused on medication management and caregiver tasks, SPARC is affordable, user-friendly, and aims to enhance independence and streamline caregiving. |
314 | 7107 | Moringa pasta | GoodHealthAndWellBeing | Moringa-enriched fettuccine represents an innovative neurobiological intervention targeting mental health rehabilitation. By leveraging Moringa oleifera's adaptogenic properties, the pasta strategically modulates neurotransmitter systems through tryptophan, stimulating melatonin, niacinamide, and dopamine secretion. Incorporating lentil flour enhances folate content, promoting neural plasticity and mood stabilization. This functional food approach offers a novel, non-pharmacological strategy for managing stress, anxiety, and neurochemical imbalances with potential therapeutic applications. |
315 | 7109 | AmpCrete | IndustryInnovationAndInfrastructure | Our project aims to develop precast concrete products integrated with energy storage capabilities. These products will harness and store energy, addressing the growing need for sustainable energy solutions in construction. By incorporating energy storage into concrete, we aim to enhance energy efficiency in buildings and infrastructure. |
316 | 7110 | ECOSORB | GoodHealthAndWellBeing | With over 4 million fatalities annually linked to exposure to outdoor ambient particulate matter, urban air pollution is a serious global health concern. Because of their reliance on outdated energy sources like coal-fired power plants, cities in developing nations are often disproportionately affected by dangerously high levels of air pollution. For instance, with pollution levels up to five times WHO recommendations, As the population grows, automobile emissions increase. Although planting more trees could increase urban greening and reduce pollution, many cities do not have enough area. This study looks at a novel approach known as "ecosorb" which is a device that use photosynthesis to produce oxygen and collect CO2. It is claimed that a single ecosorb bioreactor may purify as much air as 200 square meters of lawn. It can also reduce nitrogen, phosphorus, contaminants, and organic matter from wáter. nitrogen, phosphorus, contaminants, and organic matter. Additionally, the device offers device charging and lighting. Cities might significantly enhance air quality by quickly putting these solar-powered bioreactors in very polluted urban areas with little room for trees. Furthermore, it is also used to purify environment, as it absorbs contaminants from environment. A single ecosorb unit may absorb as much CO2 as two mature trees, according to lab test results. Upto 1215ppm CO2 gas was absorbed by 5L ecosorb device within a month . This not only reduces the amount of CO2 in the air, but also makes environment greener and eco friendly. |
317 | 7111 | GrainBot | IndustryInnovationAndInfrastructure | Grain Weevil robots offer an innovative solution to reduce post-harvest losses in grain storage. These autonomous robots minimize spoilage, infestation, and compaction while enhancing safety by eliminating the need for human entry into hazardous silos. They protect grain stocks efficiently, addressing critical challenges in storage and preservation. |
318 | 7112 | Hydro Hive | LifeBelowWater | The project, "Design and Development of AI-Enhanced USV Swarm," focuses on the creation of a robust, scalable, and intelligent unmanned surface vehicle (USV) swarm system designed for efficient water body monitoring. Leveraging a leader-follower swarm strategy, this system integrates advanced artificial intelligence (AI) algorithms for real-time navigation, data analysis, and adaptive role management within the swarm. The leader USV directs the overall operations, while follower USVs collaborate seamlessly to cover extensive areas, ensuring accurate and synchronized data collection. The primary application of this project is in environmental monitoring, specifically assessing water quality parameters such as pH levels, turbidity, temperature, and pollutant concentrations in lakes, rivers, and coastal regions. Additional applications include disaster response, biodiversity monitoring, and aquatic resource management. The system’s design emphasizes energy efficiency, using dynamic leader selection and optimized path planning. To address challenges like communication latency, swarm stability, and obstacle avoidance, robust protocols and multi-agent reinforcement learning techniques are incorporated. Simulation and real-world testing will validate the performance of the USV swarm under diverse environmental conditions. This innovation contributes significantly to environmental conservation, cost-effective water resource management, and scalable autonomous systems, making it a valuable tool for sustainable development. |
319 | 7113 | AI-Powered Retail Optimization & Fleet Management | DecentWorkAndEconomicGrowth | This project explores the integration of historical vehicle data and demographic analysis to enhance fleet management and retail site selection. By employing machine learning algorithms, we predict driver behavior and maintenance needs, allowing businesses to optimize their fleet operations. Additionally, we analyze existing socioeconomic data to identify suitable retail locations and sales hotspots. This dual approach empowers companies to make data-driven decisions, improving efficiency and targeting strategies without relying on real-time data. The proposed solution aims to bridge gaps in current methodologies, offering a cost-effective and practical tool for businesses in the retail and logistics sectors. |
320 | 7114 | ZarAI | ZeroHunger | ZarAI is a platform for one-stop digital agricultural services that has been developed to provide a consolidated set of necessary services. Our solution covers aspects such as soil health and moisture analysis, crop & fruit yield and disease assessment, weed detection and control, computation of several vegetation indices, integration of IoT and low altitude remote sensing for crop health analysis, etc. |
321 | 7115 | Braille Generator | ReducingInequality | The Dynamic Braille Generator System addresses the high cost of commercial refreshable braille displays by using an innovative electromechanical design. Leveraging 3D printing, off-the-shelf components, and electromagnetic actuators, this solution provides an affordable, efficient, and accessible option for the visually impaired community, aiming to set a new industry standard. |
322 | 7116 | Plastic Recycling | SustainableCitiesAndCommunities | Our project addresses the global and local plastic waste crisis by creating a compact and efficient recycling system. Our solution is a custom-designed rig that converts everyday plastic waste into high-quality 3D printing filaments and molds. This system supports low-scale industries, educational institutions, and small businesses in fostering a sustainable circular economy and a sustainable environment. |
323 | 7117 | SceneScribe | GoodHealthAndWellBeing | Current solutions for the visually impaired are task-specific, focusing on object detection, OCR, or traffic signals, limiting their general utility. This proposal introduces an AI-enabled wearable device—smart glasses using Vision Language Models (VLMs)—for comprehensive environmental awareness. The system aids in various scenarios, including navigation, shopping, and education, providing real-time, contextual information via audio, offering a unified solution for diverse challenges faced by the visually impaired. |
324 | 7118 | Skincholytics | GoodHealthAndWellBeing | Biomarkers in biofluids like sweat and blood provides vital information which is crucial for monitoring health . However, biosensing is limited by access of biofluid, can be invasive, cause some complications and in most cases is impractical for real time monitoring. Our solution is a biosensing device capable of detecting solid cholesterol on skin to allow easier access and real time monitoring. |
325 | 7119 | Sphericity Measurement | IndustryInnovationAndInfrastructure | Pakistan is a leading manufacturer and exporter of soccer balls and a primary supplier to FIFA. It can benefit from a locally developed sphericity measurement system. Using laser-optical sensors and machine learning, this system would ensure precise measurements aligned with FIFA Quality Program standards. |
326 | 7120 | Nimbus Pure | ClimateAction | The NimbusPure Air Purifier Device is a high-capacity device designed to combat urban air pollution. Using advanced filtration technology it captures particulate matter and harmful gases and also has real-time air quality and chemical composition monitoring feature. Deployable by governments and private environmental organizations in key urban locations, it ensures cleaner air for public, fostering healthier cities and sustainable living. |
327 | 7121 | MalariaSense | GoodHealthAndWellBeing | MalariaSense is an innovative, at-home malaria detection device combining automated microscopy and deep learning. Users simply place a blood sample on the device, which activates and captures high-resolution images. These images are analyzed by a deep learning model for accurate parasitic detection, offering a fast, reliable, and user-friendly alternative to traditional lab tests. |
328 | 7122 | GeMorph | PeaceJusticeAndStrongInstitutions | GeMorph transforms DNA data into realistic 3D facial models, revolutionizing forensic investigations especially in violent crime cases where eye witnesses are hard to come by, and DNA evidence is conclusive and crucial. By using cutting-edge Al, it shortens analysis timelines and reduces costs by over 60%. This innovation empowers law enforcement, enhances public safety, and solves cases globally. |
329 | 7124 | EcoWrites | ResponsibleConsumptionAnd Production | This innovative pencil combines functionality and sustainability by incorporating a plant able seed capsule at the end, replacing the traditional eraser. Made from eco-friendly materials like recycled paper, the pencil allows users to write as usual, and once it's too short to use, the seed capsule can be planted in soil. As the capsule biodegrades, it nurtures the growth of herbs, flowers, or vegetables. This design not only reduces waste but also encourages environmental consciousness and promotes a circular approach to everyday products, offering a sustainable alternative to conventional pencils. |
330 | 7125 | Wheel-Balancing Machine | IndustryInnovationAndInfrastructure | The commercial wheel balancing machine aims to localize high-performance wheel balancing solutions, addressing the cost and usability challenges of imported alternatives. Integrating advanced sensing, data processing, and user-friendly controls, this machine ensures precision, safety, and affordability tailored for local market needs. |
331 | 7127 | Resurge | AffordableAndCleanEnergy | Electrifying Heritage: A Plug-in Hybrid Solar Electric Vehicle. This innovative project seeks to blend tradition with technology by converting a classic petrol vehicle into a cutting-edge plug-in hybrid electric vehicle. By harnessing solar power and providing flexible charging options, we aim to create a sustainable and efficient mode of transportation. |
332 | 7129 | Debris Collector USV | ClimateAction | The marine ecosystem and marine economy is being severely affected due to the increasing issue of marine pollution. This issue has been increasing at an exponential rate for the past few decades, and it is also posing severe threats to marine life, and is one of the most discussed problems around the globe. Our project aims to design an efficient and eco-friendly Unmanned Surface Vehicle (USV), which specifically would be designed to cope with this problem by collecting floating debris on coastal areas. Our design includes the resilient mechanism for collecting debris efficiently and is optimized for various debris types, identified through extensive data collection from different operational sites. Moreover, simulations will evaluate the performance of the Vehicle under different sea conditions to ensure its reliability and efficiency. Our USV design provides a sustainable and efficient solution to mitigate marine pollution to preserve marine health and contribute to maritime operations. |
333 | 7130 | Antidepressant tea begs | GoodHealthAndWellBeing | Depression is a common neurological disorder caused by a variety of factors, affecting approximately 264 million people worldwide, according to the World Health Organization (WHO). While conventional therapies, such as medications and counseling, have proven effective for many, alternative treatments have garnered significant attention for their accessibility, affordability, and reduced side effects. One such approach involves the use of antidepressant herbs, which are rich in natural phytochemicals. These plant-based compounds exhibit therapeutic potential not only for depression but also for other neurological disorders, including Alzheimer’s disease, Parkinson’s disease, and general dementia. The treatment of depression using phytochemicals offers a cost-effective and gentle alternative, particularly appealing to individuals who are wary of the side effects of synthetic medications. Phytochemical-based therapies provide a safer and more natural approach to managing mental health conditions. This study focuses on the development of herbal tea bags designed to alleviate acute depression and enhance neurological health. Ingredients such as orange peel, pomegranate peel, banana peel, and lemon peel were selected for their demonstrated antidepressant properties and their effectiveness in combating neurodegenerative diseases like Parkinson’s and Alzheimer’s. These natural ingredients are rich sources of bioactive compounds that support neurological well-being. The proposed product aims to leverage the exceptional potential of these phytochemicals to provide a natural, accessible, and effective solution for managing depression and improving overall brain health. |
334 | 7131 | BloodShare | GoodHealthAndWellBeing | Blood is divided into 3 components (RBCs, Platelets, Plasma) and unused components often go to waste. Our goal is to connect hospitals, labs & blood-banks with a centralized database to prevent wastage. Additional we are also creating an interactive social platform to encourage blood donation by rewarding donors with partner brand discounts/coupons. |
335 | 7132 | BCI Controlled Robotic Arm using EEG and Deep Learning | ReducingInequality | The "BCI-Based Robotic Arm Controller" uses EEG signals and AI to provide affordable assistive tech for individuals with disabilities. It enables intuitive robotic arm control, fostering independence, inclusivity, and innovation in rehabilitation and human-machine interaction. |
336 | 7133 | Digital Twinning | IndustryInnovationAndInfrastructure | Urban drainage systems face significant challenges, particularly in regions prone to flooding. This project leverages digital twinning technology to analyze and enhance the drainage network of Islamabad, a rapidly urbanizing region. Digital twins enable real-time simulation and data-driven insights into the performance of the drainage infrastructure, identifying vulnerabilities and opportunities for improvement. The primary objective is to mitigate urban flooding by analyzing water flow patterns and identifying flood-prone zones. By utilizing digital twinning, we propose strategies to divert excess stormwater to designated storage facilities, reducing flood risks while simultaneously addressing water scarcity. Stored floodwater can be repurposed to supplement the region’s water supply, contributing to sustainable water resource management and urban resilience. The project involves creating a virtual model of Islamabad’s drainage system, integrating geographic, hydrological, and meteorological data to simulate water behavior during various rainfall scenarios. This model will help identify inefficiencies in the drainage network and optimize interventions, such as designing new drainage routes or upgrading existing infrastructure. The implementation of these measures aims to protect urban areas from flooding while maximizing the utility of available water resources. By adopting digital twinning for water resource management, this project demonstrates an innovative approach to urban sustainability. The outcomes will contribute to the prevention of flood-related damages, improve water security, and serve as a replicable model for other cities facing similar challenges. |
337 | 7134 | Oligoease Tea | GoodHealthAndWellBeing | Title: Formulation and Evaluation of Herbal Tea for Menstrual Irregularities Sabira Batool1, Fizza Fatima2, Umema Naeem3, Maneeha Asif4, Dr.Aymen Owais5 Department of Eastern Medicine and Surgery, Jinnah University for Women, Karachi. Background: Menstrual irregularities are common among adolescent girls, affecting daily activities and sports participation. Hormonal fluctuations during puberty often cause irregular periods, impacting 60-73% of teenage females. - Cassia fistula: Stimulates gut movement and uterine contraction, improving menstrual bleeding, relieves constipation, and reduces menstrual cramps through anti-inflammatory properties. - Dry mint: Relaxes uterine muscles, reducing menstrual cramps, improves digestion, and regulates hormones and menstrual cycles, with anti-inflammatory properties reducing menstrual cramps and bloating. - Fennel: Regulates hormones and menstrual cycles, relieves menstrual cramps and bloating, and improves uterine tone and menstrual bleeding. Aims and Objectives: Formulation of Herbal Supplementation for Menstrual Irregularities in Adolescent Girls. Methodology: This study aimed to reduce menstrual irregularities in adolescent girls by supplementing them with fennel, dry mint, and cassia fistula. Thirty subjects with oligomenorrhea symptoms were selected, and a questionnaire collected data on socio-economic status, food habits, anthropometric measurements, and clinical information. The subjects received herbal supplementation for two months. Results: After two months, 76.7% of subjects reported regular menstrual cycles, and 90% reported improved menstrual bleeding. Menstruation duration decreased from 7 to 5 days, and menstrual cramp intensity decreased from 7.5 to 4.5 on a 10-point scale. Conclusion: Herbal supplementation with fennel, dry mint, and cassia fistula may help regulate menstrual cycles and improve bleeding in adolescent girls with menstrual irregularities. Cassia fistula's purgative effect may have contributed to improved uterine contraction and menstrual bleeding. Keywords: female disorders, menses, health, herbal |
338 | 7135 | volt fit | ResponsibleConsumptionAnd Production | In the pursuit of smarter, more sustainable activewear, we introduce the voltFit Tracksuit, a groundbreaking innovation that harnesses the Seebeck Effect to convert body heat into electricity. As we exercise, our body generates temperature differences between itself and the surrounding environment. The tracksuit’s specially engineered fabric captures this heat differential and converts it into electrical energy. This energy is then used to charge small electronic devices, such as smartwatches, EarPods, and smartphones, ensuring that you stay connected and powered up while on the move. Combining fitness with functionality, the VOLTFIT Tracksuit offers a seamless fusion of technology and performance, empowering users to charge their devices naturally, without relying on external power sources. This solution revolutionizes personal energy use, offering an eco-friendly alternative to traditional charging methods. Whether you’re working out at the gym or going for a run, your tracksuit is not just clothing—it’s a portable power source. |
339 | 7136 | Design and Development of An Underwater Observation Class Vehicle. | LifeBelowWater | The "Design and Development of an Underwater Observation Class Vehicle" aims to enhance underwater exploration by developing a versatile Unmanned Underwater Vehicle (UUV). By integrating cutting-edge technologies with integrated sensors and camera system. The project seeks to provide superior performance for marine research, port security, and offshore operations. The design emphasizes modularity, compactness, and high efficiency, ensuring the UUV is both cost-effective and scalable. The vehicle's innovative system integration and ability to operate at depths up to 50 meters make it a breakthrough in the field of underwater observation, offering a robust solution for critical underwater applications. |
340 | 7138 | Aqua Design Studio | IndustryInnovationAndInfrastructure | Aqua Design Studio aims to revolutionize the ship design industry by offering innovative, high-quality, and accessible design solutions to a diverse range of clients, including shipyards, marine industries, and private individuals. Our agency strives to be a reliable subcontractor for larger design firms while providing expert consultation and tailored services to smaller businesses and private clients. With a focus on empowering talent development, Aqua Design Studio delivers exceptional services in ship design, project management, retrofitting, and custom boat designs, helping clients bring their maritime visions to life. |
341 | 7139 | Blockchain Voting | IndustryInnovationAndInfrastructure | The proposed project is a decentralized, secure, and transparent voting system built on blockchain technology. It aims to provide a tamper-proof election process for organizations, governments, and institutions, ensuring the integrity and confidentiality of votes. The system guarantees fairness and eliminates the risk of fraud, making it a reliable alternative to traditional voting mechanisms. |
342 | 7140 | Revotex | ResponsibleConsumptionAnd Production | Imagine a world where fabrics clean themselves, repel stains, and stay fresh without constant washing. Our project, Self-Cleaning Smart Materials, is the next leap in textile innovation. By integrating cutting-edge technology, we will have engineered fabrics that redefine hygiene and sustainability. While using materials that use sunlight to break down dirt, while water-repellent materials, prevent moisture and stains. Infused with elements that actively combat Odor-causing bacteria, and photocatalytic treatments ensure fabrics stay refreshingly clean. This breakthrough reduces water consumption, minimizes detergent use, and sets a revolutionary standard for eco-conscious textiles. Transforming how we live, clean, and sustain, our solution is the perfect blend of science, innovation, and impact. |
343 | 7141 | Wholesome Sweet | GoodHealthAndWellBeing | Diabetes is a growing concern not only in Pakistan but all over the world, affecting more than 33 million people in Pakistan alone. Our solution, offering naturally sweetened commercial products, addresses the unmet need for diabetic-friendly, tasty alternatives. The products cater to those seeking guilt-free indulgence without raising blood sugar levels, enhancing health and happiness for diabetics. This innovative approach is locally sourced, making it both relevant and impactful, with measurable benefits such as improved quality of life and healthier diets. The solution is easy to adopt, requiring no major changes in lifestyle, and is highly marketable, given Pakistan's growing health-conscious population and available production expertise. |
344 | 7142 | Photocatalytic Paints | SustainableCitiesAndCommunities | Photocatalytic paint represents a cutting-edge, sustainable solution for addressing global air pollution, urban maintenance challenges, and public health concerns. By utilizing light-activated photocatalysts, such as titanium dioxide (TiO₂), this innovative paint reduces harmful pollutants like nitrogen oxides (NO) and volatile organic compounds (VOCs), making it an ideal material for urban areas suffering from high levels of air pollution, Additionally, the paint's self-cleaning properties offer a maintenance-free solution to grime, dirt, and organic contaminants, while its antimicrobial effects promote healthier environments in public and healthcare spaces. This proposal aims to introduce photocatalytic paint as a global solution, leveraging its multifunctional capabilities to improve air quality, reduce energy consumption, and create cleaner, more sustainable urban landscapes. The technology's adaptability to various environments, including commercial, residential, and industrial applications, positions it as a scalable and eco-friendly alternative to traditional paint. With a focus on cust effective production, increased efficiency under visible light, and the creation of partnerships for large-scale adoption, this innovation holds the potential to contribute significantly to urban sustainability and the fight against climate change. |
345 | 7143 | Mosquito Repellent | GoodHealthAndWellBeing | Mosquito-borne diseases like dengue and malaria are major health hazards in Pakistan, particularly at peak seasons. Increasingly, there is growing awareness of the environmental and health effects of chemical repellents. The demand for alternative safer, eco-friendly methods has been increasing. The circuit presented here is innovative, designed to produce ultrasonic frequencies that repel mosquitoes without harming humans or pets. This device works by producing high-frequency sound waves that are specifically designed to irritate mosquitoes, thus disrupting their behavior and preventing them from approaching. These sound waves are inaudible to humans, making it a safe and non-invasive solution for households, offices, and public spaces. Our solution is designed to meet the needs of diverse communities across Pakistan by prioritizing user safety, energy efficiency, and affordability. The project focuses on optimizing frequency generation, enhancing portability, and ensuring compatibility with local power supplies. Prototypes have been tested in controlled and real-world environments and shown to be promising in terms of reducing the presence of mosquitoes. We have also explored sustainable production methods so that the device is not only environmentally friendly but also cost-effective for mass production. Our mosquito repellent circuit is an advanced idea toward combating a very significant health problem in Pakistan. Innovation, combined with practicality, this project would have the potential for being a scalable solution in order to enhance public health, but not at the cost of reliance on chemical repellents. This would bring the difference in both rural and urban areas. Our project fits into the purposes to create innovation towards a healthier Pakistan with its stress upon community welfare and technology-driven problem solving. |
346 | 7144 | RAISC | GoodHealthAndWellBeing | RAISC is an AI-driven mental health platform that bridges the gap in mental health care by offering stigma-free, scalable solutions. It integrates an AI chatbot for personalized patient engagement, real-time insights, and professional support depending on user choice, ensuring accessible and efficient care for all. |
347 | 7145 | Semolina Khtai | GoodHealthAndWellBeing | Introducing Semolina Khatai, a crunchy, flavorful Pakistani biscuit reimagined with semolina flour. A perfect blend of tradition and innovation, our Khatai is baked to perfection for a delicious snack experience. |
348 | 7147 | 2) MamaMorph | GoodHealthAndWellBeing | Postpartum recovery is a critical yet often overlooked phase in women’s health. Our innovative solution introduces MamaMorph , a line of postpartum garments crafted with advanced shape-memory polymers. These materials adapt to the wearer’s body, providing personalized support and comfort as the body heals. Designed for flexibility and breathability, the garments offer adjustable compression to aid recovery, alleviate discomfort, and enhance mobility. By combining cutting-edge material science with user-centric design, we aim to empower mothers with recovery wear that evolves with their needs, ensuring both physical well-being and emotional confidence during a transformative time. |
349 | 7148 | EF-3F (Environment Friendly Fuel, Feed, Fertilizer) | SustainableCitiesAndCommunities | EF-3F (Environment-Friendly Fuel, Feed, and Fertilizer) is a sustainable system designed to convert organic waste into valuable resources. With nearly 60% of global waste classified as organic, this concept tackles the dual challenge of waste management and resource generation. EF-3F aims to produce three outputs: renewable biofuel, animal feed, and organic fertilizer, promoting environmental sustainability and economic efficiency. Data shows that processing 1 ton of organic waste can produce around 150 cubic meters of biogas, generating 0.6 MWh of energy—enough to power an average household for one month. This process reduces landfill methane emissions by up to 70%. Additionally, the leftover digestate, comprising 25-30% of the initial waste, can be transformed into organic fertilizer. This natural alternative enhances soil quality and boosts crop yields by 15-25%, addressing over-reliance on synthetic fertilizers, which dominate 85% of global use. Organic waste can also be a low-cost alternative for livestock feed. High-protein residues such as food scraps can replace conventional feeds, potentially reducing feed expenses by 20%, especially for small farmers. Technologies like anaerobic digestion, composting, and microbial treatment ensure efficient conversion, with digestion systems achieving up to 95% breakdown of biodegradable materials. Globally, approximately 2.1 billion tons of municipal solid waste are generated each year, with 1.26 billion tons being organic. Implementing EF-3F could process this waste into useful products, reducing landfill dependency while creating renewable resources. By diverting waste, EF-3F offers a triple advantage: clean energy production, sustainable agriculture, and reduced environmental harm. This model is adaptable for community-based and industrial-scale projects, making it viable for urban and rural settings alike. EF-3F provides an eco-friendly and economically viable pathway to address global waste and resource challenges, contributing to a greener, more sustainable future. |
350 | 7149 | Energy generation from speed breakers | AffordableAndCleanEnergy | Energy generation from speed breakers converts vehicle-induced mechanical energy into electrical energy using piezoelectric materials, mechanical systems (rack and pinion), hydraulic/pneumatic compression, or electromagnetic induction. This sustainable approach stores or uses the energy for local applications like lighting. |
351 | 7150 | Lip movement to speech converter | GoodHealthAndWellBeing | This project focuses on developing a lip-reading AI system that facilitates communication for individuals with speech impairments. The proposed solution processes video inputs of silent human speech, analyzes lip movements using advanced machine learning techniques, and converts them into text and speech outputs. The system employs 3D Convolutional Neural Networks (3D CNNs) for spatial and temporal feature extraction, sequence modeling with RNNs or Transformers for text prediction, and state-of-the-art Text-to-Speech (TTS) models for audio synthesis. Integrated with a robust database for storing outputs and user-friendly interfaces for desktop and mobile applications, the system aims to deliver an innovative, accessible, and efficient communication tool. |
352 | 7151 | Lipstick kit by Using Organic Ingredients | GoodHealthAndWellBeing | AN ABSTRACT ON LIPSTICK KIT BY USING ORGANIC INGREDIENTS INTRODUCTION: Introducing long lasting lipstick kit with variety of three gorgeous shades; ruby red, cocoa brown and not pink, made entirely Trom the organic compounds and natural ingredlents to ennance the beaucy of the lips along with its skin care as an addition. AIM: Cocoa brown shade is applicable as a contour and hot pink shade is applicable as a blush, while all three shades are applicable as eyeshades along with lipstick. Being able to carry least equipments Is the utmost desire of every person, these organic lipsticks will allow any women to pull a party makeup on the spot. MATERIALS AND ITS USES: The materials that are used in organic lipstick are all natural and safe to use even if injected orally. Beeswax- works as a protective layer and produce long lasting effect. Shea butter & Coconut oil- helps retain moisture in the skin. Aloevera- works as an anti inflammatory. Honey- used as a fragrance and adds natural glow. Vitamin E- makes lip smoother, plumper and softer. beetroot powder- provides tint and nourishment. Cocoa powder- works as an anti-aging Food color- to give pigmentation. CONCLUSION: The uniqueness of these organic made lipstick is to keep lips healthy and sate from many heavy toxic materials such as Formaldehyde, Coal Tar, Lead & etc. In 2012 the FDA also conducted a study contained a dangerous level or lead and other toxic neavy metals in popular lipstick brands like L'Oreal, Maybelline, Revlon, Cover Girl, Avon, NARS and Mac. But these organic made lipstick erases the possibility of any harmtul ettect to the skin rather nourishes to leave a bright impact. |
353 | 7153 | NAPICLE | ResponsibleConsumptionAnd Production | A diaper is composed of mainly cotton/cellulose and plastic.The disposal of used diapers is a significant eco-technological problem that is exacerbated annually by the exponential increase in diaper usage worldwide. Due to its exponential expansion, it is anticipated that the global production of disposable used diapers will top $71 billion annually by 2025. It was found that more than 3.5 million tons of diaper trash, which contains around 20 billion pieces of soiled diapers and takes 500 years to fully degrade, are disposed of in landfills each year.. The production and disposal of waste from used diapers is a resource-intensive operation that poses a risk to public health and has led to a number of environmental problems. This essay provides a comprehensive examination of the challenges, strategies, and latest advancements in addressing problems arising from the production and disposal of dirty diapers. Due to their social integration, the infant diaper sector has been expanding rapidly since the early 1960s, when disposable diapers were first launched.. In a household, disposable diapers are usually thrown away after only one use. In order to maximize the recycling of used diapers at the lowest feasible cost, it was stressed that a variety of technologies be employed for the treatment and recycling of used diapers. These technologies included the employment of possibly safer and cleaner technologies such thermal pyrolysis and biodegradation. It has been demonstrated that old diapers can be biodegraded and pyrolyzed to produce useful end products with a variety of uses. This result provides a direction for further study to increase the efficiency of these procedures in the recycling of old diapers.A device called an napicle has been created to recycle and reuse sanitary pads and napkins. It is a cost-effective and effective gadget. Therefore, up to 98% of a used disposable diaper or incontinence product can be recycled or used again after being thrown in the trash. Many useful products, such as tissue paper, toilet paper, and filter paper, have been made from recycled materials. The objective of this initiative is to efficiently recycle and reuse waste. |
354 | 7154 | Driver Drowsiness Detection | IndustryInnovationAndInfrastructure | The Driver Drowsiness Detection System is a real-time, non-intrusive solution to reduce road accidents caused by driver fatigue. By monitoring signs like eye blinks, yawning, and facial expressions through a camera and using machine learning algorithms, it alerts drivers to prevent mishaps. |
355 | 7155 | Disasters RiskECO | ClimateAction | Our idea is about cost-benefit analysis of a disaster after mapping its Risk. It uses CLIMADA to deliver real-time cost-benefit analysis for disasters like floods and earthquakes, or any other. It features an interactive portal where users can upload datasets, visualize hazard maps, and evaluate economic impacts caused by any disaster. . Our interactive portal empowers decision-makers with data-driven insights to optimize resource allocation and minimize disaster impacts. |
356 | 7157 | Comfi-Back | GoodHealthAndWellBeing | Riding a motorbike more than 2 to 4 hours a day causes permanent spine damage. Most InDrive, FoodPanda, and Bykea riders exceed this figure. We plan to redesign the rear suspension of Pakistan's most common bike, the CD-70, to solve this problem and reduce the health damages. |
357 | 7158 | HemAIDX | GoodHealthAndWellBeing | HemAIDX is set to redefine how blood disorders are diagnosed by bringing innovation, sustainability, and efficiency to haematological diagnostics. Using Generative Adversarial Networks (GANs), it will virtually stain raw blood smear images, eliminating the need for traditional chemical dyes while achieving diagnostic quality on par with conventional methods. This transformative approach not only simplifies the staining process but also offers a greener alternative by drastically reducing the environmental impact of chemical reagents. Built on a robust AI model trained with diverse datasets of stained and unstained samples, HemAIDX will replicate intricate staining patterns crucial for accurate diagnoses. Its effectiveness will be validated through partnerships with leading institutions like PIMS, NORI Hospital, and NUST School of Health Sciences, where expert haematologists will compare its results against traditional staining under microscopes. Additionally, HemAIDX will deliver significant cost savings by minimizing chemical and labour expenses, making it a practical solution for healthcare providers seeking efficiency. By integrating feedback from haematologists and technicians, the platform will be fine-tuned to fit seamlessly into workflows, saving time and enhancing usability. Designed to provide real-time results through a cloud-based web application, HemAIDX will feature an interactive dashboard for easy data management, making diagnostics faster, scalable, and accessible. The solution combines AI-powered image generation, classification, and segmentation. The process begins with collecting both stained and unstained blood smear images, which are manually aligned before being fed into the model for training. Using PIX2PIX GANs, the unstained images are virtually stained to mimic Giemsa stain. This method ensures high-quality training data, followed by advanced AI models like RT-DETR for classification and SegFormer for segmentation, identifying different blood components and predicting diseases based on white blood cell type, morphology, and count. The solution is accessible via a user-friendly web application that provides detailed reports, highlights abnormalities, and supports remote collaboration. HemAIDX offers a cost-effective, efficient, and environmentally friendly solution for diagnosing blood disorders, especially in underserved areas with shortage of haematologists. |
358 | 7160 | Solar panel cleaner | NoPoverty | The increasing adoption of solar energy highlights the need for efficient maintenance of solar panels to ensure optimal energy generation. Accumulation of dirt, dust, and other debris on panel surfaces can reduce efficiency by up to 30%, making regular cleaning essential. This project presents an autonomous solar panel cleaner robot equipped with innovative features designed to maximize cleaning efficiency while minimizing resource usage. The robot operates autonomously, leveraging a smart dust sensor to detect the cleanliness of the panels and initiate cleaning only when necessary. Its design includes a central pipe with strategically placed nozzles for precise water distribution, combined with a wiper mechanism for thorough dirt removal. The robot moves in a linear to-and-fro motion at a controlled speed of 0.2167 m/s, ensuring uniform cleaning across the panel surface. A key differentiating feature of the robot is its ability to monitor weather parameters such as rainfall, wind speed, and dust storms. This data is used to adjust cleaning frequency dynamically, reducing unnecessary cleaning cycles and conserving water and energy. The system’s autonomous functionality eliminates the need for manual intervention, making it a safer and more efficient alternative to traditional cleaning methods. The robot’s modular design ensures scalability, catering to various solar panel setups, from small rooftop installations to large-scale solar farms. It is also energy-efficient, with the potential for solar-powered operation, aligning with the sustainability goals of the renewable energy sector. The integration of smart sensors, automation, and weather-based adaptability makes this robot a cost-effective and eco-friendly solution for maintaining solar panel efficiency. This project not only addresses the challenges of manual cleaning but also introduces a smart, data-driven approach to solar panel maintenance. By reducing operational costs, enhancing energy output, and promoting water conservation, the robot has the potential to revolutionize solar panel cleaning practices, making it an indispensable tool for the sustainable energy industry. |
359 | 7162 | Aroma breeze | GoodHealthAndWellBeing | The invention pertains to an herbal nebulization technique developed for alleviating nasal congestion. The product, at the lab scale, has undergone quality control measures and animal testing, showcasing promising results. It is an innovative solution derived from a blend of essential oils, offering a natural alternative with minimal side effects in comparison to existing commercial brands. The technology is versatile, catering to diverse age groups and various respiratory issues, such as upper respiratory tract infections, asthma, seasonal allergies, and flu. |
360 | 7163 | HoneyPoPs | GoodHealthAndWellBeing | This technology pertains to the development of herbal candies specifically formulated to manage symptoms associated with Upper Respiratory Tract Infections (URTIs). Through rigorous quality control measures and animal testing at the laboratory scale, these candies have demonstrated potential efficacy. The innovation involves a unique blend of herbal ingredients, providing a natural alternative for symptom relief and immune support. Designed for convenience, portability, and cost-effectiveness, the herbal candies cater to a diverse population. |
361 | 7164 | WorknConnect | QualityEducation | WorknConnect is an innovative platform designed to bridge the gap between academia and industry, empowering tech students and professionals through collaborative project-based opportunities. The platform enables industries to post real-world projects, allowing students to bid on them based on their skills and expertise, while supervisors can guide students by forming collaborative teams. WorknConnect incorporates cutting-edge machine learning algorithms to match users with projects tailored to their skillsets and ensures seamless collaboration by providing intuitive communication tools and progress tracking. The platform also features robust spam detection and secure payment processing to maintain a trustworthy ecosystem. By fostering meaningful connections between students, educators, and industry professionals, WorknConnect transforms academic knowledge into practical expertise, driving innovation, career growth, and mutual success for all stakeholders. |
362 | 7166 | AgriShield BRIS | IndustryInnovationAndInfrastructure | Agriculture, contributing 23% to Pakistan’s GDP and employing over 37% of its labor force, However, a significant percentage of crop yield is lost annually due to bird damage. AgriShield a Birds Repellent Intelligent Shield (BRIS) is an eco-friendly and innovative IoT-based system, addresses the issue of bird damage causing up to 10% crop and 30% fruit losses annually in Pakistan and hundreds of billions dollar globally. It uses smart sensors to detect birds, activating harmless deterrents like high-frequency waves, sound, water sprays, and lights to repel birds effectively without harming them or the environment. Cost-effective and scalable, it reduces labor, eliminates chemical repellents, and offers a sustainable solution for local and global agriculture. |
363 | 7167 | Vakil.pk | IndustryInnovationAndInfrastructure | Vakil.pk is an AI-powered platform designed to simplify legal processes for individuals and businesses in Pakistan. It provides document creation, legal clause simplification, grammar correction, and tailored legal suggestions. By leveraging localized fine tuned AI models, it ensures accuracy, and accessibility for its users. |
364 | 7168 | SupeRaft | SustainableCitiesAndCommunities | The RAFT (Rescue Armour in Flood Tides) is a wearable device designed to enhance safety during flood emergencies. It integrates advanced sensors to detect environmental conditions, a GPS for real-time tracking, and an inflatable mechanism for buoyancy, offering a comprehensive solution for individuals trapped in flood situations. |
365 | 7169 | Intelligent drones | Other | **Abstract:** The increasing need for advanced surveillance and security systems has spurred the development of various aerial technologies, one of which is the use of unmanned aerial vehicles (UAVs) like hexcopters. This project explores the integration of air and ground object detection and countermeasure capabilities using a hexcopter platform. The objective is to enhance situational awareness in dynamic environments by leveraging the hexcopter’s aerial mobility and the latest advancements in computer vision, sensor fusion, and real-time processing. The primary focus of the system is to detect and classify both aerial and ground objects, such as vehicles, people, drones, and other potential threats, in real time. The hexcopter is equipped with a variety of sensors, including high-resolution cameras, LiDAR, and infrared systems, which work in unison to collect comprehensive data. A machine learning-based object detection framework processes the sensor data, enabling the hexcopter to identify objects, track their movements, and assess potential threats. This approach is capable of detecting a wide range of objects, from small UAVs in the air to larger vehicles or individuals on the ground, even in challenging weather conditions or environments with limited visibility. In addition to detection, the system incorporates automated countermeasures. Once a potential threat is identified, the hexcopter is capable of deploying non-lethal countermeasures such as signal jammers, net capture systems, or smoke screens, depending on the nature of the threat. These countermeasures are designed to neutralize or mitigate the risk posed by the detected objects, particularly in scenarios involving hostile drones or unauthorized surveillance. The system is equipped with an intelligent decision-making algorithm that evaluates the risk posed by the identified objects, ensuring that countermeasures are deployed only when necessary, thus minimizing the potential for collateral damage. The hexcopter’s advanced flight control system, combined with its detection and countermeasure capabilities, makes it a versatile tool for security operations, border patrol, military reconnaissance, and other applications requiring high-level situational awareness. This project demonstrates the potential of using autonomous aerial systems to not only detect threats in real time but also respond with effective countermeasures, ultimately improving security and safety in complex environments. Future developments will focus on enhancing the accuracy and response time of the system, as well as expanding its operational range and integration with other autonomous systems. |
366 | 7170 | F&U Naturals Detanify Herbal Soap | GoodHealthAndWellBeing | Title: Formulation and Evaluation of Sebum Controlling and Detanning Soap Dr. Aymen Owais1, Fizza Fatima2, Umama Faisal2 1Associate Professor, Department of Eastern Medicine, Jinnah University for Women 2Department of Eastern Medicine, Jinnah University for Women Abstract: Sebum controlling and De-tanning soap is designed to help control excess oil on the skin, which can be great for those with oily skin or acne-prone skin. It's formulated to reduce sebum production and keep your skin feeling fresh and clean. It's a good choice for skincare routines, especially for those looking to manage oily skin. This sebum controlling soap contain ingredients, such as Rice flour, Potato and Almond Oil, which in combination works great for skin. The soap made was evaluated for physicochemical characters such as total fatty matter, moisture content, pH and for other parameters, good characteristics were observed. Human skin, the outer covering of the body constitutes the first line of defense protecting the body against various pathogens. As the skin interfaces with environment, it is constantly exposed to different environmental stimuli. This makes the skin damage prone. Severely damaged skin will often try to heal by forming scar tissue, which is often decolorized and depigmented. Plants have been used in the treatment of human diseases and infections since ages. The active constituents of plants can be formulated as ointment, cream, gel, lotion, soap, or crude/solvent extract. Utilization of plant extracts and their derived phytoconstituents have a likely future for controlling hyperpigmentation. Soaps are one among the modern-day cosmetics for maintaining and enhancing the vigor of skin. However, the Present chemical soaps quite frequently can cause dryness and irritation of the skin interestingly, the popularity of herbal-based soaps is increasing due to their efficacy on topical Disorders. The aim of this study is to formulate and evaluate the anti sebum and detanning hand-made soap using melt and pour method. The pre-made soap bases were weighed and sliced. Then mixed together the finely powdered rice flour and the excipients. The starch of potato is then incorporated. Before pouring these ingredients into the soap base, they were fully combined. Melted the base into liquid and properly incorporated all the ingredients while it was heating. Poured the liquid into the mold and placed it in the refrigerator for about 2 hours Before removing it. Allowed one day for it to sit. The soap made was evaluated for physicochemical characters such as total fatty matter, moisture content, pH and for other parameters, good characteristics were observed. The formulated soap showed considerable commercial Standard, and all the other parameters were good, and hence, it can be concluded that the formulated herbal soap is Standardized and can be used as a promising alternative to Commercial chemical containing de-tanning soaps. Keywords: Soap, Herbs, Anti-Sebum, De-Tanning Soap, Potato, Rice |
367 | 7171 | Trip Lyft | SustainableCitiesAndCommunities | TripLyft is a revolutionary travel app that transforms trip planning and navigation in Pakistan. Featuring a bilingual chatbot, it provides detailed insights into tourist spots, customizable trip plans, routes, and travel times. Users can explore local guides, activities, and touring agency reviews. TripLyft ensures convenience, saves time, and enriches experiences by uncovering hidden gems and local insights. |
368 | 7172 | Career Counseling platform | NoPoverty | Our career counseling platform is designed to help individuals navigate their professional journeys with clarity and confidence. By providing expert guidance, personalized advice, and valuable insights, we empower users to make informed decisions about their career paths. Whether you're exploring new opportunities or seeking direction, we are here to support you every step of the way. |
369 | 7173 | Development and optimization | SustainableCitiesAndCommunities | This project focuses on restoring the strength of recycled glass fibers by using an ion exchange process with a supersaturated potassium nitrate solution. The goal is to enhance the mechanical properties of waste glass fibers, contributing to sustainable material recycling. This research aims to develop an efficient method for strengthening recycled fibers, promoting environmental and economic benefits. |
370 | 7174 | Self healing Composite | IndustryInnovationAndInfrastructure | This project focuses on developing a self-healing composite material utilizing recycled glass fibers, aiming for enhanced sustainability and performance in structural applications. The integration of self-healing agents into the composite matrix offers the potential to repair microcracks autonomously, thus improving durability and reducing maintenance requirements. Recycled glass fibers, processed and treated for compatibility, serve as the reinforcement, minimizing waste and promoting circular material use. The methodology involves encapsulating healing agents within microcapsules embedded in the composite, which release upon crack formation to initiate the healing process. Comprehensive testing, including mechanical and thermal properties analysis, ensures the reliability of the developed composite. This approach not only addresses environmental concerns by reusing glass fibers but also extends the lifespan of composite materials, contributing to advancements in sustainable engineering. |
371 | 7175 | Nutrilicious Baby Foods | GoodHealthAndWellBeing | Nutrilicious Baby Food is developing convenient and nutritious ready-to-cook weaning product specifically crafted to meet the dietary requirements of infants at the age of 6 months. This locally sourced and gluten-free baby food serves as a wholesome introduction to the weaning process. Offering balanced nutrition at affordable prices, our product aims to enhance accessibility, particularly for underserved communities. Recognizing the absence of local alternatives for baby cereals, our initiative fills a crucial gap in the market. By strategically positioning ourselves and tailoring our offerings to align with the distinct needs and preferences of the local consumer base, we aspire to establish a unique and competitive presence in the baby food sector. Additionally, our commitment to substituting imported products. Especially during this period when we need to boycott certain brands and their products, we recognize the critical absence of alternatives in the baby food market. Moreover, our startup aims to foster collaborations with key stakeholders in the food industry, including government bodies, researchers, non-governmental organizations (NGOs), and academia. While we acknowledge the limitations of our current resources, we plan to start on a small scale and gradually expand our operations. In conclusion, our startup envisions a brighter future for the children of Pakistan by addressing critical nutritional deficiencies and promoting healthy eating habits during the early years of life. We aspire to make a meaningful impact on child health, food security, and economic opportunities in our nation. |
372 | 7179 | Brain Controlled HCI | IndustryInnovationAndInfrastructure | The Brain Controlled Human-Computer Interaction (HCI) system revolutionizes accessibility by enabling motor-impaired individuals to control computers hands-free. Using EEG brainwave sensors and eye-blink detection, users navigate cursors, control course movement, click, and type effortlessly. This innovation empowers independence, creativity, and seamless interaction, transforming lives. |
373 | 7180 | Smart Cure | GoodHealthAndWellBeing | Breast cancer is a leading cause of mortality worldwide, and finding effective treatments remains a critical challenge. Our project harnesses the power of Machine Learning (ML) to revolutionize the drug discovery process for breast cancer. By analyzing vast datasets of drug-related information, our ML model will pinpoint the most promising drug candidates with unparalleled efficiency and accuracy. What sets this project apart is its seamless integration of cutting-edge technology with practical application. After identifying potential drugs, we will validate them in our lab and enhance their effectiveness by coupling them with nanoparticles for precise, targeted delivery. This approach not only accelerates the drug discovery timeline but also holds the potential to drastically improve treatment outcomes for breast cancer patients. |
374 | 7181 | Microplastic identification | CleanWaterAndSanitation | Our project analyzes microplastic contamination in bottled water, assessing the impact of packaging, storage, and external factors. Using SEM for microplastic identification, we aim to create a sustainable, microplastic-free water bottle from sugarcane waste and organic adhesives, promoting environmental sustainability. |
375 | 7182 | Biochip Solutions | GoodHealthAndWellBeing | Our product investigates droplet manipulation on digital microfluidics (DMF) platforms, focusing on enhancing the dielectric properties of the dielectric medium. Functional membranes of different dielectric materials are also synthesized for comparative analysis to optimize performance. Various hydrophobic layers, including PDMS, Teflon, and oils, are tested for droplet velocity. Applications include electrochemical sensing, pollutant detection, and biological assays such as ELISA, cell sorting, and cell counting. |
376 | 7183 | Energy-Positive Human Activity Recognition Using Solar and Kinetic Signal Fusion | AffordableAndCleanEnergy | In today's world, wearable Internet of Things (IoT) devices for healthcare and activity monitoring are becoming more popular. However, their widespread use is limited by the short battery life caused by the high power consumption of conventional inertial activity sensors. To address this, we suggest wearable, miniature solar and kinetic energy harvesters that can function as both an activity sensor and an energy source, enabling energy-positive human activity recognition (HAR). The energy collected should be sufficient for activity classification using ML models, transmitting the inferred activity class, and obtaining activity signals. We also hope to achieve better activity classification through the signal fusion. |
377 | 7184 | Image-to-Prompt | NoPoverty | This project develops a model to predict text prompts from images, bridging the gap between visual content and textual inputs. It enhances accessibility for visually impaired individuals and advances generative AI by offering insights into prompt engineering. Utilizing state-of-the-art AI techniques, the model ensures accurate predictions and semantic analysis, transforming how we interpret and interact with AI-generated imagery. |
378 | 7185 | FuelSense | IndustryInnovationAndInfrastructure | FuelSense is an innovative system designed to enhance vehicle safety and fuel efficiency by integrating advanced algorithms and smart hardware into cars and bikes. The system leverages GPS technology to detect the location of registered fueling stations and monitors the vehicle's fuel or battery levels in real-time. By calculating the ratio of remaining fuel to the distance of the nearest fueling pump, it generates timely alerts to ensure drivers can refuel before running out of fuel. FuelSense goes beyond basic alerts by implementing a progressive response mechanism. Initially, it provides audio-visual warnings to the driver. If the driver continues without refueling and the risk increases, the system triggers a high-alert mode, gradually slowing down the vehicle to encourage a safe stop. In critical situations, the system safely immobilizes the vehicle to prevent accidents or damage. This industrial-grade idea offers a comprehensive solution for a wide range of vehicles, from traditional petrol and diesel vehicles to electric vehicles (EVs). The system ensures reliability by maintaining a database of registered and verified fueling stations and can adapt to different terrains and regions. FuelSense is not just a tool for individual drivers but also a scalable solution for fleet management companies, offering real-time monitoring, reduced downtime, and enhanced operational efficiency. With its focus on safety, convenience, and sustainability, FuelSense aims to revolutionize the automotive industry and set a new standard in fuel management and vehicle safety systems. |
379 | 7186 | MISTRI | IndustryInnovationAndInfrastructure | MISTRI (Modern Infrastructure, Spatial Transformation, and Rendering Innovation) is a user-friendly software designed to simplify home design and visualization. It allows users to create detailed 2D floor plans and 3D models by entering basic dimensions, making the design process accessible to everyone, from homeowners to professional architects. A key feature of MISTRI is its ability to provide realistic 3D visualizations of designs. Users can see how their spaces will look and function, helping them make informed decisions before construction begins. Additionally, MISTRI incorporates augmented reality (AR), enabling users to view their designs in real-world settings, creating an interactive and immersive experience. MISTRI is designed to address common challenges in traditional architectural design, such as the time-consuming nature of creating plans, difficulty in visualizing layouts, and lack of easy-to-use tools. It simplifies these processes, making it quicker and more efficient to design residential spaces. The software is flexible, allowing users to modify designs in real time and ensuring compatibility with existing design workflows. Whether for personal use or professional projects, MISTRI helps users bring their ideas to life with greater clarity and ease. |
380 | 7187 | Tidal Energy | AffordableAndCleanEnergy | This project aims to develop a sustainable tidal energy system for coastal regions, converting wave motion into electrical energy using a hydraulic PTO (Power Take-Off) mechanism. The design focuses on efficiency, durability, and minimal environmental impact, providing a clean, renewable energy solution to meet the energy needs of coastal areas. |
381 | 7188 | farmers empowerment | NoPoverty | This project aims to revolutionize the agricultural market in Pakistan by creating a platform that empowers farmers to directly connect with consumers. By eliminating intermediaries, farmers can gain better control over pricing and market access, improving their income and livelihoods. The project will leverage digital tools to enhance communication between farmers and customers, promoting transparency, efficiency, and sustainability in the supply chain. This initiative strives to modernize the agricultural sector, fostering growth and ensuring that those who feed the nation are empowered to thrive in the digital age. |
382 | 7189 | FitMaster AI | GoodHealthAndWellBeing | FitMaster AI fitness app is designed to help people with their workouts. The main goal of this app is to ensure users perform workouts correctly, reducing chances of injury while enhancing the gains of user. The project uses advanced technology to monitor users workout form in real-time and provides instant feedback. If workout posture is not proper, FitMaster AI will point it out and guide the user on how to fix it. FitMaster AI does not only stop here, it also tracks users progress. It keeps track of number of sets performed, number of correct reps, number of incorrect reps. This tracking gives user a complete picture of their workout routine while highlighting the areas for improvement. FitMaster AI is designed to be user friendly, and can be used by naive people entering the world of fitness. Whether at home, gym, office or in a park, all the user needs is FitMaster AI and a camera(portable or integrated). Just Launch the app and the app will do the rest for you. Main audience of this app are people who cannot afford expensive trainers, gyms, or People who don't like working out in groups or infront of other people. This app bridges that gap by acting like a personal trainer in your pocket, offering expert guidance anytime you need it. At its core, Fit-Master AI is about empowering people to take control of their fitness journey. It’s not just about working out—it’s about working out the right way. By combining real-time feedback with detailed progress tracking, this project redefines how we approach fitness, making it safer, smarter, and more effective for everyone. |
383 | 7190 | SMEAT | SustainableCitiesAndCommunities | Our paint and concrete products eat smog and pollutants in the air. When built, they activate ynder sunlight and our painted walls and roads and bricks break dangerous NOx and PM of the air into safe compounds such as O2 |
384 | 7191 | Nestio | Other | Nestio is a modern housing solution designed for students, interns, young professionals, and digital nomads. It addresses the challenges of finding flexible and reliable housing that adapts to the dynamic lifestyles of its users. By offering a platform with customizable living options, Nestio combines flexibility, personalization, and community engagement to enhance the housing experience. The platform provides a variety of property types, from shared accommodations to private studios, with options for fully furnished, partially furnished, or unfurnished spaces. Lease terms are highly adaptable, allowing users to adjust their stay duration. This flexibility makes Nestio ideal for short-term stays, internships, or temporary assignments. Nestio uses advanced technology like AI to match users with properties based on their preferences, ensuring a personalized experience. Augmented reality (AR) and virtual tours give users an immersive way to explore properties before booking, saving time and making decisions easier. Relocation assistance is the primary purpose of this application. Safety and trust are top priorities. Nestio ensures verified profiles, and transparent reviews for users. A 24/7 support team is available to address concerns and provide assistance. Nestio’s mission is to redefine housing by offering more than just a place to stay. It aims to create a lifestyle solution that combines flexibility, community, and convenience, meeting the evolving needs of modern renters while fostering meaningful connections. |
385 | 7192 | Smart and sustainable cold storage | ZeroHunger | Approximately 40 to 50% of fruits and vegetables are lost which exceeds 1.3 billion tons, and an estimated 750 billion US dollars are wasted yearly due to a lack of proper post-harvest storing and transportation management, affecting not only the quantity but also the nutritional quality of vegetables and fruits and is considered a global problem. Due to this high energy consumption and food losses globally, the idea presents solutions for the critical need for sustainable and energy-efficient cold storage solutions. Our inventive solution uses IoT and solar energy to build an energy-efficient, self-sustaining cold storage and reefer container. In comparison of our approach to conventional systems, it combines an IoT-based control system with solar-powered refrigeration to remotely monitor and manage temperature and relative humidity in real-time. This system focuses on both aspects, dependency on grid electrical sources and guarantees ideal storage conditions, this approach lowers food waste and spoiling during storing and transportation. This approach achieves better control over the cold storage environment by utilizing ultrasonic humidifiers and energy-efficient mechanical refrigeration. By integrating advanced IoT monitoring with renewable energy utilization, this research makes a unique contribution to the field by improving both technological efficiency and sustainability in cold storage practices, improving food security and supply chain stability. |
386 | 7193 | EcoSilica | IndustryInnovationAndInfrastructure | The study focuses on producing low-cost, eco-friendly silica powder from rice husk ash, a byproduct of burning rice husk as biofuel. Often discarded by industries, rice husk ash contributes to environmental pollution and health problems when dumped. By extracting silica from this waste, the project promotes environmental sustainability, turning agricultural residue into valuable raw materials for diverse industries, including renewable energy. EcoSilica is already in Phase 2, from development now going for commercialization. Our research and development team is going for it’s R&D. To this end, we plan to increase production and penetrate the industrial market to offer a local sustainable alternative to imported silica that stimulates rural economies. |
387 | 7194 | Smart Cushion | GoodHealthAndWellBeing | The Smart Cushion is an innovative device designed to monitor sitting posture using pressure sensors and machine learning algorithms. It alerts users through motor vibration when incorrect posture is detected, promoting better posture habits. This affordable, user-friendly solution addresses health issues caused by poor sitting habits. |
388 | 7195 | Bio fabric | DecentWorkAndEconomicGrowth | The study meant to understand the nature and properties of bio fabric and bio polymer made by sodium alginate which is extracted by brown seaweed . Our aim was to develop a sustainable fabric which have significantly reduce the environmental impact associated with conventional textile manufacturing and its application. Alginate fibres are biocompatible non toxic and also have intrinsic flame retardancy. Bio fabric is a multiple purpose sheet can be used to make wet wound bandages, envelopes, gloves, lab coats, clothes, shoes, handbags, etc. This new textile fabric produce by Alginate extracted from brown seaweed would be a future sustainable fabric which is eco-friendly. Not only it can use in textile but in medical dressing because of its antimicrobial property, in making of edibles films at a very cheap and economical cost. |
389 | 7196 | Efficient Heat Exchanger | IndustryInnovationAndInfrastructure | This project optimizes the design of shell and tube heat exchangers using innovative baffle designs to enhance heat transfer and reduce energy losses. The focus is on improving efficiency, reducing operating costs, and promoting sustainable practices in industrial heat transfer applications. |
390 | 7197 | We | Other | A unified platform fostering professional and personal growth by connecting users with experts across various fields, from tech mentors to psychologists, via voice, video, or chat. With exclusive women and general communities, it provides a safe space for learning, networking, and consultation, breaking barriers to expertise through secure, direct access. |
391 | 7198 | Automotive Radar | IndustryInnovationAndInfrastructure | This project designs and simulates an FMCW radar system for automotive applications, focusing on accurate detection and tracking of objects like vehicles and pedestrians. Utilizing FMCW technology, the radar measures range and velocity with high precision, making it ideal for ADAS and autonomous driving. |
392 | 7199 | Predentosis | GoodHealthAndWellBeing | This project leverages machine learning and advanced imaging technologies to transform dental care by providing an end-to-end solution tailored for dental practitioners. The focus lies on developing an artificial intelligence (AI)-powered system capable of analyzing dental X-rays, particularly Orthopantomograms (OPGs), to detect and classify dental diseases such as caries, impacted teeth, and periapical lesions. Dental diagnosis is often reliant on subjective interpretation by clinicians, which can lead to variability and potential errors. This project aims to standardize and enhance diagnostic processes, reducing the risk of misdiagnosis and facilitating early disease intervention. A custom-made AI model lies at the core of this project, built using deep learning techniques for image segmentation and disease classification. These models are trained on annotated datasets of dental X-rays, ensuring high precision in identifying and localizing dental pathologies. The resulting system is integrated into a user-friendly application, designed with a user-centric approach to address the specific needs of dental professionals. The application not only supports automated diagnostic capabilities but also simplifies workflows by replacing existing complex healthcare systems with an intuitive and accessible interface. One of the key contributions of this project is filling a significant gap in the domain of dental healthcare technology. Currently, no publicly available software provides a comprehensive solution for automated dental disease detection and diagnosis. By addressing this unmet need, the project offers a novel tool for dentists, empowering them to make quicker and more informed decisions while improving the overall patient experience. Beyond diagnostic improvements, the application also reduces patient check-up times by expediting the analysis process. It bridges the gap between clinicians and technology, promoting the adoption of AI in dental practices and advancing the field towards a technology-driven future. The integration of machine learning into a practical, real-world application exemplifies how AI can transform healthcare, delivering precision, efficiency, and user accessibility. |
393 | 7200 | Sky Aid | Other | Sky Relief is a modular, eco-friendly aircraft designed for disaster relief and humanitarian missions. It combines advanced aerodynamics, precise GPS-guided airdrop capabilities, and payload optimization to deliver critical supplies like food, water, and medicines to inaccessible or disaster-struck areas quickly and efficiently. Additional Applications and Features: Flood Relief: Supplies like food, medicines, and water can be delivered to stranded individuals quickly. Post-Disaster Recovery: Can transport construction materials and tools for rebuilding infrastructure. Medical Emergencies: Carries medical kits, vaccines, or organs for transplant to remote hospitals. Environmental Monitoring: Equipped with sensors, it can survey disaster zones, assess damage, and map flood-affected areas. Military Operations: Potential use for non-combat supply missions in conflict zones. Custom Payload Options: Easily reconfigurable for surveillance, agricultural seeding, or firefighting. |
394 | 7201 | Skinly Cure | GoodHealthAndWellBeing | Acne is a common skin issue that affects people of all ages, and its prevalence is increasing. Different factors such as skin type, hormonal changes, and lifestyle can make acne vary widely from person to person. Traditional treatments often follow a generic approach, which may not work well for everyone. To address this, my project aims to create a solution that provides personalized acne detection, analysis, and treatment recommendations. The solution will use image processing algorithms and machine learning models to analyze photos users upload. It will assess acne severity, identify different types like pimples, blackheads, or cystic acne, and categorize them based on skin types like oily, dry, combination, or sensitive skin. This real-time analysis will enable the system to suggest personalized skincare routines, including product recommendations, lifestyle changes, and home remedies that fit each user’s skin condition and type. The solution will also include educational content to help users understand the causes of acne, how to prevent it, and how to track their progress. Using AI, the system will learn from user feedback and dermatological research to continuously improve its recommendations. The goal is to give users accurate insights and tailored advice, helping them take control of their skincare and achieve healthier, clearer skin. By combining dermatological knowledge with modern technology, this project offers a comprehensive approach to acne management. It will be simple, user-friendly, and designed to work for all skin types. Ultimately, it will help users improve both their skin and their confidence by offering practical, science-based solutions. |
395 | 7202 | Autonomous Underwater Vehicle (AUV) | LifeBelowWater | This research investigates the hydrodynamic performance of an Autonomous Underwater Vehicle (AUV) using computational fluid dynamics (CFD). By simulating various operating conditions, the study aims to optimize the AUV's design and control systems for efficient and effective underwater missions. The CFD analysis provides insights into hydrodynamic forces and moments, enabling the refinement of the AUV's shape, propulsion system, and control algorithms. |
396 | 7203 | Anti-jamming optimization. | IndustryInnovationAndInfrastructure | This project focuses on developing an anti-jamming technique for low-power devices using backscatter technology and Deep Reinforcement Learning (DRL). By optimizing Signal-to-Interference Noise Ratio (SINR), it ensures reliable and energy-efficient communication in interference-prone environments. The proposed solution is ideal for IoT networks, smart cities, and industrial automation, enhancing connectivity and sustainability. |
397 | 7205 | Thermogenix | IndustryInnovationAndInfrastructure | Thermogenix is an eco-friendly energy recovery system for hybrid vehicles that converts exhaust heat into usable energy to recharge batteries. Equipped with a high-efficiency thermostat and BMS, it reduces fuel consumption, minimizes emissions, and lowers pollution, ensuring greener and more efficient long drives. |
398 | 7206 | ChatWave A Mobile App | IndustryInnovationAndInfrastructure | ChatWave is an innovative mobile application designed to revolutionize digital communication by integrating advanced messaging, enhanced privacy, and versatile features into a single platform. Inspired by apps like WhatsApp, Telegram. ChatWave goes beyond traditional functionalities, offering high-definition voice and video calls, voice to text summary for long text, tone detection and other languages translations Like Urdu. |
399 | 7207 | Health Monitoring | Other | This project explores the application of silver-coated nylon fibers for structural health monitoring (SHM) and crack detection in civil engineering structures. The innovative approach leverages the piezoresistive properties of these fibers to develop sensitive, flexible, and cost-effective strain sensors. Traditional SHM techniques, such as visual inspections and non-destructive testing, are often limited by their inability to detect early-stage damage and high resource demands. By embedding silver-coated nylon fibers into structures, this research aims to enable real-time monitoring of strain and crack propagation, enhancing safety, reliability, and longevity. The methodology involves sensor characterization, circuit integration, and testing under various conditions to establish strain-resistance relationships. The project includes the development of an early warning system to alert stakeholders of potential structural failures. This work underscores the significance of advancing SHM technologies to reduce operational costs, improve infrastructure maintenance, and prevent catastrophic failures. |
400 | 7208 | AlethiusGate | PeaceJusticeAndStrongInstitutions | This project combines multimodal analysis of facial expressions, audio signals, and behavioral cues with adaptive question generation powered by large language models (LLMs). Insights from multimodal fusion guide the generation of context-aware questions in real time, enhancing the effectiveness and fairness of interrogations. The system reduces bias, minimizes human error, and streamlines resource-intensive processes, revolutionizing interrogation methodologies. |
401 | 7210 | BlueShield USV | LifeBelowWater | BlueShield USV revolutionizes water quality by measuring heavy metal concentration and removing waste and debris from the surface of the water. Equipped with sensors for pH, oxygen, TDS, conductivity, and GPS, it predicts heavy metal contamination. Data is transmitted to a web portal for ML-based predictions, water mapping, and environmental sustainability. |
402 | 7211 | LabourLink | NoPoverty | The demand for daily wage labor in Pakistan, especially in construction and industrial sectors, often faces inefficiencies and trust issues due to traditional hiring methods. These methods involve intermediaries or local hiring hubs, leading to delays, unverified workers, and lack of transparency. The concept of a location-based labor hiring app aims to revolutionize this process by connecting employers directly with workers in real-time, based on proximity and skills. This app will provide a seamless, efficient, and transparent solution for both employers and workers, streamlining the hiring process. The app will enable employers to post job requirements for skilled or unskilled labor, instantly matching them with available workers nearby. Workers, on the other hand, will create profiles listing their skills, experience, and availability, allowing them to receive job notifications based on their location. By integrating GPS functionality, the app ensures that laborers and employers can find each other in real time, significantly reducing downtime and waiting periods that are often seen in traditional systems. Employers will benefit from an efficient platform that provides instant access to a pool of pre-vetted workers, eliminating the need for middlemen or time-consuming searches. Workers will have the opportunity to expand their job reach, ensuring a steady stream of employment opportunities. The app will include rating and feedback systems, enhancing transparency and building trust between workers and employers. The app's payment system will be secure and transparent, facilitating direct transactions between employers and workers, ensuring timely and accurate payments. Additionally, the platform will include features like simple contract templates, worker insurance options, and multi-language support, making it accessible to a wide range of users across various regions of Pakistan. This app not only aims to simplify the hiring process but also contributes to the local economy by providing employment opportunities, improving the transparency of labor transactions, and helping small businesses and individual employers find reliable, nearby workers quickly. The shift from traditional labor hiring to a digital, location-based system promises to create a more efficient, transparent, and reliable labor market in Pakistan. |
403 | 7212 | MeetEase | Partnerships | Meeting automation streamlines the university meeting process by automating scheduling, agenda management, attendee tracking, and follow-ups. Key features include calendar integration for conflict-free scheduling, real-time agenda updates, automatic meeting minutes, task assignment, and analytics for meeting efficiency. The platform enhances collaboration and accountability, offering a user-friendly interface for easy adoption. |
404 | 7214 | HAAV | IndustryInnovationAndInfrastructure | Hybrid Aerial Aquatic Vehicle or HAAV is a Multi-Dimensional quadcopter drone that is capable of transitioning from aerial to aquatic medium and vice versa with a single set of propeller. It can be used to monitoring, surveillance and reconnaissance. |
405 | 7215 | PAROOS | ReducingInequality | The real estate crowdfunding platform PAROOS works on blockchain technology to democratise property investment allowing investors to fractional own property as low as PKR 10000. They offer secure, transparent transactions, AI driven market insights, and liquidity of its asset through a secondary market. PAROOS lowers entry barriers and makes a wider audience able to build wealth through real estate. |
406 | 7216 | Net MACC | ResponsibleConsumptionAnd Production | This project explores a novel approach to Marginal Abatement Cost Curve (MACC) analysis by using Net Environmental Impact instead of CO2 abated. By considering a broader range of environmental factors, this method provides a more comprehensive understanding of the true benefits and costs of various abatement strategies, promoting sustainable decision-making. |
407 | 7217 | LegalEase | PeaceJusticeAndStrongInstitutions | LegalEase is a platform that simplifies access to legal assistance by connecting individuals seeking legal advice with qualified lawyers. We guide clients through the legal process, offering clear explanations of legal concepts and assisting with document preparation. Our platform streamlines the lawyer connection process by matching clients with lawyers specializing in their specific legal needs, ensuring the best possible representation. To further facilitate this process, we provide lawyers with detailed case summaries, enabling them to quickly grasp the client's situation and develop effective legal strategies. LegalEase removes the barriers to legal assistance, empowering individuals to navigate the legal landscape with confidence and clarity. |
408 | 7218 | Solar-Powered HIDEC System with Automated Real-Time Optimization | IndustryInnovationAndInfrastructure | Our project proposes a solar-powered, automated Hybrid Indirect Direct Evaporative Cooling (HIDEC) system for efficient and sustainable indoor climate management. Combining indirect and direct evaporative cooling, it utilizes sensors, variable frequency drives, and machine learning algorithms for optimized energy consumption and predictive control. By enabling real-time monitoring and remote management, the system enhances indoor air quality while effectively regulating temperature and humidity. Designed for sustainability, the HIDEC system reduces reliance on grid power, offering an innovative solution to modern HVAC challenges through advanced automation and solar energy integration. |
409 | 7220 | BOS Chatbot | Other | Large Language Models (LLMs) are sophisticated AI systems capable of understanding and generating human-like language, performing tasks such as text generation, translation, summarization, and question-answering. In the medical field, LLMs can assist in providing patients with information about symptoms, treatments, and medication management, while in the legal field, they help lawyers find relevant case laws, statutes, and legal precedents. Our chatbot is designed to enhance productivity by offering an interactive platform for storing and retrieving data, allowing users to ask questions and access specific information from past meetings, such as decisions and discussions. The application also enables users to upload new data, which is automatically indexed and stored for future reference. By leveraging advanced AI and NLP technologies, the chatbot will revolutionize the way information is accessed and utilized in the workplace. |
410 | 7221 | Smart Sphere | IndustryInnovationAndInfrastructure | Home automation is revolutionizing modern living by offering enhanced convenience, efficiency, and security. Smart Sphere is a globally accessible IoT-based home automation system designed to empower users with full control over their household appliances through a seamless mobile application. Utilizing advanced technologies like ESP32 microcontrollers and cloud-based real-time communication, Smart Sphere ensures effortless connectivity, energy optimization, and robust security. Tailored for affordability and scalability, it addresses the evolving needs of smart home users worldwide. Smart Sphere is the ultimate solution for a smarter, simpler, and more connected lifestyle. |
411 | 7222 | GestureVox | ReducingInequality | Sign language users face barriers in communication with non-signers, leading to exclusion in education, healthcare, and daily life. Our project, GestureVox, is a smart glove that translates Pakistani Sign Language (PSL) into text or speech in real time using flex sensors, MPU-6050, and an ESP32 microcontroller, promoting accessibility and inclusivity. |
412 | 7223 | LingoMate | Other | LingoMate is an interactive English practice tool that allows users to converse on their favorite topics, improving their fluency. The AI bot uses speech recognition and natural language processing to help users learn English more effectively. |
413 | 7225 | CloStone | ResponsibleConsumptionAnd Production | Pakistan has large textile production, also overconsumption and overproduction due to fast fashion is unsustainable practice which is a primary cause of textile waste. Large imports of used clothing from the EU to Pakistan contributes more to the waste. With no local textile waste brick manufacturer, Clostone transforms building material by upcycling textile waste into eco-friendly bricks. Here old clothes become the building blocks of the spaces we inhabit. |
414 | 7226 | VersaCore | ResponsibleConsumptionAnd Production | VersaCore is an AI-powered solution designed to revolutionize business efficiency by reducing waste, optimizing inventory, and enhancing profitability. Initially targeting food businesses, VersaCore leverages predictive analytics and intelligent insights to streamline operations, minimize resource misuse, and drive sustainable growth. Future scalability aims to empower diverse industries worldwide. |
415 | 7228 | Thermal Insulation | SustainableCitiesAndCommunities | Development and performance analysis of a thermal insulator derived from industrial textile waste char for energy-efficient buildings. The project tackles the growing issue of textile waste accumulation and climate-driven energy challenges by converting raw textile waste through torrefaction process to produce char as a sustainable building material. The material’s thermal properties, strength, moisture, and fire resistance will be tested, promoting sustainable building practices. |
416 | 7229 | BlockCred | QualityEducation | BlockCred is an application on Blockchain-Based Degree Verification and Issuance System aims to reduce fraud in academic credentials by leveraging Ethereum's ERC-721 standard. It enables secure degree requests, validation by university admins, and issuance as NFTs with unique hashes, ensuring authenticity, transparency and instant verification for stakeholders. Marketing Perspective educational systems who are willing will pay and will get access to our system and will adopt it. |
417 | 7230 | Urban Guardian | SustainableCitiesAndCommunities | Urban Guardian is a YOLO–You Only Look Once–based vision model, synchronized with existing CCTV networks to monitor streets in real-time. It detects stray animals and burglars–potential threats–and alerts residents and relevant authorities with instant, automated messages. These measures imply the town's safety, prevent human-wildlife conflicts, deter crime, and support sustainable development. |
418 | 7231 | Workout Assistant | GoodHealthAndWellBeing | Many people get injured during exercise due to improper form or technique, affecting their progress and health. The Real-Time AI-Driven Workout Assistant will provide instant feedback on exercise form using Machine Learning (ML) and Computer Vision. It will detect improper movements, and deliver corrections in real-time in order to prevent injuries during workout. |
419 | 7232 | StraySense | LifeOnLand | StraySense is a comprehensive platform that will revolutionize the way stray animal welfare willcbe managed by combining advanced monitoring technologies and community-driven engagement leading to an application that facilitates end to end solutions for stray animal care. It offers a unified digital space that bridges the gap between concerned citizens, animal welfare organizations and local authorities enabling seamless collaboration between all. Its not just a tool but a movement, fostering empathy and collective responsibility towards creating a more compassionate environment for stray animals. |
420 | 7233 | Parhlai | QualityEducation | Parhlai is an AI based entry test preparation application that is working to make entry test prep very affordable and customisable for the students. Currently, students have to enrol in long and expensive courses that do not cater to the weak areas of students. We are working to solve this problem for students every year. |
421 | 7234 | Modulation insight | IndustryInnovationAndInfrastructure | This project develops an Al-based system to classify multiple modulation schemes in wireless communication. Using machine learning algorithms, the system extracts features from received signals to accurately identify modulation types. By improving modulation classification, the project aims to optimize network performance and enhance data transmission efficiency in communication systems. |
422 | 7235 | CyberNexus Shield | IndustryInnovationAndInfrastructure | This project aims to develop an advanced, cost-effective Security Information and Event Management (SIEM) system. By integrating threat intelligence and network security, it addresses sophisticated cyber threats more effectively than traditional systems. The solution offers multi-layered protection, real-time monitoring, and efficient incident response, ensuring comprehensive security. Scalable and affordable, it empowers organizations of all sizes to enhance defenses and achieve sustainable cybersecurity. |
423 | 7236 | Bioplast | ClimateAction | The increasing environmental burden caused by petroleum-based plastics has spurred the need for sustainable and biodegradable alternatives. Bioplastics derived from algae offer a promising solution due to their renewability, eco-friendliness, and rapid growth cycle. Algae-based bioplastics can significantly reduce plastic pollution and mitigate the negative impacts of fossil fuel-derived plastics. Algae, particularly microalgae like Chlorella and Spirulina, are abundant, easy to cultivate, and capable of thriving in diverse environments, including wastewater and non-arable land, making them a sustainable raw material source. The production process of algae-based bioplastics involves cultivating algae, harvesting the biomass, extracting biopolymer precursors such as polysaccharides, proteins, or lipids, and converting these components into bioplastics like polylactic acid (PLA) or polyhydroxyalkanoates (PHA). This process typically takes 2 to 4 weeks, depending on growth conditions and processing techniques. The resulting bioplastics are biodegradable, non-toxic, and have comparable mechanical properties to conventional plastics, making them suitable for various applications, such as packaging, disposable cutlery, and medical products. Algae-based bioplastics offer several environmental benefits. They require minimal land and water resources compared to traditional crops like corn or sugarcane used for other bioplastics. Additionally, algae cultivation helps sequester carbon dioxide, thereby reducing greenhouse gas emissions. The process can also utilize wastewater, contributing to water treatment and minimizing the need for freshwater resources. After use, algae-based bioplastics decompose naturally in soil or compost environments, reducing the risk of long-lasting pollution. Despite their potential, challenges remain in scaling up algae-based bioplastic production. High production costs, optimization of biopolymer yield, and energy-efficient processing methods are key areas requiring research and technological innovation. Collaborative efforts between researchers, industries, and policymakers are crucial to developing cost-effective, large-scale production systems. In conclusion, algae-based bioplastics represent a sustainable alternative to conventional plastics, addressing both environmental and economic concerns. Their potential to reduce plastic waste, lower carbon emissions, and contribute to a circular economy positions them as a key player in the future of sustainable materials. Continued advancements in cultivation, extraction, and processing technologies will pave the way for the widespread adoption of algae-based bioplastics, contributing to a cleaner and more sustainable planet. |
424 | 7237 | SafeRide Helmet | GoodHealthAndWellBeing | With over 28.78 million bikes in Pakistan,and over 700 million globally rider safety is more important than ever. Our smart helmet tracks vital signs like heart rate and blood pressure, sending alerts if an accident happens. Built with tough, impact-resistant materials, it’s designed to protect riders and save lives. Guided by the SDGs for Good Health and Wellbeing, Industry Innovation, and Sustainable Cities, this project introduces innovation to improve safety and quality of life for millions of bikers. |
425 | 7238 | Aquapure Monolith | CleanWaterAndSanitation | Revolutionize water purification with the novel Cr-BDC MOF Gel! Unreported until now, this groundbreaking gel outperform MOFs and traditional water treatment materials, removing pollutants like crystal violet dye and ciprofloxacin with unmatched efficiency. Cost-effective, labor-saving, and time-efficient, it’s the sustainable solution for cleaner, safer water. Say goodbye to inefficiencies-embrace the future of wastewater treatment! |
426 | 7239 | Smart Cell Balancer | IndustryInnovationAndInfrastructure | Smart Balancing and Monitoring for EV Batteries addresses cell imbalance in lithium-ion batteries, a major cause of reduced lifespan and safety risks. Our active cell balancing system uses advanced energy transfer mechanisms to equalize voltages, conserve energy, and minimize heat loss. This innovation extends battery life, improves safety, and enhances performance for EVs and renewable energy storage. |
427 | 7241 | Uraan | QualityEducation | The increasing number of Pakistani students aspiring to study abroad has highlighted the need for effective and affordable test preparation resources for standardized exams like SAT, GRE, TOEFL, and IELTS. Existing options, such as tuition centers and international preparation apps, are often prohibitively expensive, creating a significant barrier for many students. While local apps focus on university entry tests, there is a noticeable lack of platforms addressing international test preparation. To bridge this gap, we are developing a module-based app that combines affordability with comprehensive test prep. Leveraging artificial intelligence, the platform will provide personalized study plans, adaptive learning modules, and diagnostic tools to identify and address individual weaknesses. Moreover app will provide an AI feature to generate question of given difficulty level from the syllabus or a topic. The app will feature extensive question banks, video tutorials, flashcards, and realistic mock tests to ensure effective preparation. Beyond preparation, the app will include resources on scholarships and application guidance. By offering high-quality content at a fraction of traditional costs, our app aims to democratize access to international test preparation, empowering Pakistani students to achieve their academic dreams globally. |
428 | 7243 | Coastal Guard | ClimateAction | Analyze historical data to determine and visualize changes in coastal erosion. Perform a vulnerability assessment for Prince Edward Island (PEI) coast. |
429 | 7244 | Floating Point | IndustryInnovationAndInfrastructure | "This project designs and implements a single-precision Floating Point Unit (FPU) for RISC-V processors, compliant with IEEE 754 standards. The FPU supports addition, subtraction, multiplication, and logical operations. It enhances computational accuracy and efficiency for embedded systems, benefiting math calculationsand scientific applications." |
430 | 7245 | Alztrace | GoodHealthAndWellBeing | The global burden of Alzheimer's Disease (AD) necessitates urgent advancements in early detection methods to improve patient outcomes. Our project utilizes a direct blood test to analyze specific biomarkers, namely tau proteins and amyloid-beta 42 (Aβ42), which are directly linked to AD. This research examines the correlation between elevated levels of these biomarkers and the risk of AD onset. Using techniques such as Nanoparticle Detection, we aim to detect these biomarkers at the earliest stages. Our preliminary findings highlight the potential of these biomarkers to transform early diagnostic processes, enabling faster, non-invasive, and more cost-effective detection of Alzheimer's, which can lead to improved intervention strategies |
431 | 7246 | Construction ERP | DecentWorkAndEconomicGrowth | The construction ERP system would mainly focus on construction sector of developing countries and more specifically Pakistan. More our Construction ERP would transfer all the old method of managing the whole construction project which often lead to project delays, economic losses etc |
432 | 7247 | Disaster Robot | SustainableCitiesAndCommunities | This project develops a scaled mobile robot for disaster response, leveraging Kinect and IMUs for VSLAM-based autonomous navigation and victim rescue. Image segmentation, Kinect skeleton detection, and a novel belt-based mechanism enable efficient victim handling. Using Oriented Fast and Rotated Brief Simultaneous Localization and Mapping(ORB-SLAM) and Dynamic Window Approach(DWA) for obstacle avoidance, the ROS-based system ensures safe, reliable, and energy-efficient operations in challenging environments. |
433 | 7248 | Crypto Core | IndustryInnovationAndInfrastructure | This project, CryptoCore, introduces a hardware-accelerated solution for secure and efficient data encryption in embedded systems. By integrating the Advanced Encryption Standard (AES) as custom instructions within the RISC-V PicoRV32 core, the project aims to achieve real-time, low-power encryption. The Artix-7 FPGA platform is utilized for implementation, leveraging Verilog for design and Vivado for synthesis. This innovation ensures faster encryption, reduced latency, and lower energy consumption, addressing the challenges faced by software-based cryptographic solutions in resource-constrained environments. |
434 | 7249 | RepuTrack | IndustryInnovationAndInfrastructure | RepuTrack is an intelligent social media monitoring system designed to track brand mentions, analyze sentiment, and detect trends in real-time. It empowers marketers and advertisers with actionable insights to manage reputation, enhance campaigns, and respond proactively to audience feedback. |
435 | 7250 | AUCTA | IndustryInnovationAndInfrastructure | Advancements in neuroplasticity and machine learning offer groundbreaking opportunities to enhance the lives of individuals with disabilities, including those with limited limb function or visual impairments such as strabismus (commonly referred to as "funny eye"). This paper proposes a unified framework for human augmentation leveraging neuroplasticity, the brain's ability to reorganize and adapt, in conjunction with state-of-the-art machine learning techniques. The goal is to develop intelligent prosthetics and augmentative systems that integrate seamlessly with the human nervous system, enabling natural control and feedback. Our approach emphasizes adaptive learning models that continuously refine their operations based on user-specific neural activity, creating a personalized interface between the brain and the augment. These models, combined with advances in sensor technology and real-time data processing, aim to restore or even enhance motor and sensory capabilities. For individuals with visual impairments, we explore augmented reality solutions and neural retraining to improve coordination and depth perception. By harnessing the synergy between neuroplasticity and artificial intelligence, this work aspires to not only restore lost functionalities but also empower individuals to exceed traditional limitations, fostering inclusivity and independence. This initiative holds the potential to redefine human augmentation by delivering accessible, scalable, and highly personalized solutions to individuals with diverse needs, ultimately improving their quality of life and enabling a more inclusive society. |
436 | 7252 | Smart Fertigel | ZeroHunger | Our project develops a hydrogel-based fertilizer delivery system that releases nutrients gradually based on soil conditions and plant needs. The hydrogel reduces waste, enhances nutrient uptake, and improves water retention. This innovative solution aims to boost crop yields, conserve resources, and promote sustainable farming. |
437 | 7253 | Vision Electric | IndustryInnovationAndInfrastructure | This modular electric scooty is a revolutionary transport solution offering unmatched customization. It allows users to tailor key components like motor speed, battery capacity, seating, and frame size to match their specific needs. Designed to fold into a compact case, it is easy to store and transport. This versatile product caters to a wide range of applications, including factory commutes, hospital rounds, campus transportation, and recreational activities. By providing an affordable, eco-friendly, and personalized travel solution, it aims to redefine short-distance mobility. |
438 | 7254 | 5D Printer | IndustryInnovationAndInfrastructure | Our project introduced a 5D printer that revolutionizes manufacturing by combining multi-axis and rotational printing, enabling the creation of complex geometries on curved surfaces. This innovation increases the efficiency of machines, reduces waste and increases productivity. It is used to provide safe, precise and versatile solutions in the aerospace, biomedical and automotive industries. |
439 | 7255 | Melanoma Detection | GoodHealthAndWellBeing | In the recent years, human being is suffering from cancer and one of the most hazardous form of it is Melanoma. Difficulty in its early detection make it responsible for almost 75% of all skin cancer deaths. Its early stage detection can be helpful to cure it. If it is cured in its early stage, risks can be minimized but if the diagnosis becomes late, Melanoma can grow deeper into the skin and spread to other sensitive organs of the body. Mostly, Melanoma is examined by dermoscopy which is a non-invasive technique that uses the application of oil immersion and incident light to examine the sub surface structures of the affected skin. Although it is very good in accurate detection but accuracy mainly depends on the experience and training of dermatologist. Thus, there is a need for automatic diagnosis tool for the physician. Experienced Dermatologists can also detect this only to some extinct and there accuracy ranges from 75-85% maximum. Computer based diagnosis is helpful to increase the accuracy as well as speed of the treatment. Although modern AI is not too much advanced to work as a human but it is able to extract very important information like texture features, color variations, shape, size, severances, asymmetry and color variation that may not be possible by human eye. |
440 | 7256 | Solaris | AffordableAndCleanEnergy | The global energy landscape is evolving toward decentralized, sustainable, and efficient systems. Our project, Solaris, presents a peer-to-peer (P2P) energy trading platform that leverages blockchain technology and IoT to enable seamless, secure, and transparent energy transactions. With the increasing adoption of renewable energy sources like solar panels, many prosumers generate surplus energy that often goes unused or wasted. Solaris empowers these prosumers to trade their excess energy directly with consumers in their community, eliminating the need for intermediaries. Our platform utilizes a private Ethereum blockchain for managing transactions, ensuring data integrity and transparency. Smart contracts automate trading processes, including energy auctioning and pricing, making the system efficient and tamper-proof. The platform also integrates IoT-based smart metering, enabling real-time monitoring of energy generation and consumption for both prosumers and consumers. This ensures accurate energy data and promotes trust among participants. Key features of Solaris include a dynamic auctioning system for fair energy pricing, maximum power extraction using MPPT controllers, and continuous data monitoring through devices like ESP32. The system architecture comprises prosumers with solar panels and batteries, consumers as energy buyers, and a decentralized trading platform connecting both. By aligning with UN SDGs 7, 9, 11, and 12, the project promotes affordable, clean energy, innovation in infrastructure, sustainable communities, and responsible consumption. Solaris is not only a technical innovation but also a step toward empowering communities to adopt renewable energy solutions, reducing reliance on conventional grids, and fostering energy independence. Our solution demonstrates the practical application of cutting-edge technologies in addressing real-world energy challenges while contributing to a more sustainable future. |
441 | 7257 | Eco-Crete | SustainableCitiesAndCommunities | Eco-Crete utilizes finely ground Induction Furnace Slag (IFS) as a partial cement replacement, reducing carbon emissions and promoting industrial waste recycling. This innovative concrete is economical, sustainable, and robust, providing an eco-friendly alternative for Pakistan's construction sector. |
442 | 7258 | OncoScan | GoodHealthAndWellBeing | We expand our existing brain tumor detection system to encompass prevalent Pakistani cancers: lung, breast, liver, and kidney. Leveraging deep learning and image analysis, this AI-powered tool aims to improve early cancer diagnosis and patient outcomes in resource-limited settings. |
443 | 7260 | DermVision | GoodHealthAndWellBeing | This project aims to create an AI-powered web app that predicts skin diseases from images. By analyzing visual features, the app helps users detect potential skin issues early, promoting timely medical attention. With a focus on accessibility and health awareness, the app empowers individuals to take proactive steps toward better skin health and well-being. |
444 | 7261 | WebGenie | IndustryInnovationAndInfrastructure | Current website development methods necessitate the input of a human developer. We propose an AI-powered platform that automates the entire website development process. Our system will manage all phases of website development, which include Frontend Design, Backend Development, Database Integration, and Cloud Deployment. Users can specify their needs, choose preferred technologies, and customize their projects without writing a single line of code. The AI takes care of the rest, delivering a ready-to-use website in minutes. Our product targets entrepreneurs, small businesses, and non-technical individuals who need a fast, cost-effective solution for creating websites. It also appeals to developers looking to enhance productivity. This platform represents a paradigm shift in website development, combining cutting-edge technology with user-centric design. Using this solution, we aim to transform how websites are built, enabling democratization and efficiency in the digital world. |
445 | 7262 | Orphan EduCare | NoPoverty | This platform connects orphanages globally, providing orphans with educational opportunities through virtual classrooms. Volunteers from around the world can teach and track progress, overcoming geographical barriers. The platform enables efficient scheduling, personalized learning, and collaboration, empowering orphans and creating a global network of volunteers to provide consistent, impactful education. |
446 | 7263 | Nitro-Explosives Monitoring | ClimateAction | Terrorist organizations around the world, including in Pakistan, have exploited explosives, particularly improvised explosive devices (IEDs), to target civilians, military personnel, and government infrastructure. From attacks in public spaces to transportation networks, explosives continue to pose a significant threat to national and global security. According to a Monitor report, in 2022, 4,710 people were killed or injured by landmines and explosive remnants of war (ERW) across 49 countries. Civilians accounted for 85% of the casualties, with half of them being children (1,171). The highest casualty numbers were recorded in Syria (834) and Ukraine (608), where the number of civilian landmine and ERW casualties in Ukraine increased ten-fold compared to 2021. Yemen and Myanmar also reported over 500 casualties in 2022. Countries like Afghanistan, Bosnia and Herzegovina, Cambodia, Iraq, and Ukraine are heavily contaminated with landmines, each reporting over 100km² of contaminated land in 2022.A research study conducted by Amber B. Surrency and team in Kabul City, Afghanistan, identified 590 casualties from landmine and ordnance explosions over a 25-month period, with 571 people injured or killed. Landmines and unexploded ordnance (UXO), including grenades, bombs, mortar shells, and cluster munitions, pose serious public health and economic risks worldwide. An estimated 60 to 70 million landmines are scattered across 70 countries, with around 24,000 people, mostly civilians, being killed or injured every year. In 2009, the Landmine and Cluster Munition Monitor reported 421 casualties in Pakistan due to antipersonnel mines, anti-vehicle mines, victim-activated improvised explosive devices (IEDs), and other explosive remnants of war (ERW).The majority of the casualties were adult men (327), with nearly a third (103) being security forces personnel. There were also 57 child casualties, including 39 fatalities and 18 injuries, with 36 boys and 21 girls affected. The highest number of casualties occurred in Khyber Pakhtunkhwa (KP) and the former Federally Administered Tribal Areas (FATA), with 310 fatalities, followed by 107 in Balochistan. The total number of casualties in Pakistan remains unclear, as there is no established mechanism for data collection. According to South Asia Terrorism Portal, 21989 civilians have been killed by explosives only in Pakistan. Moreover, different types of chemical reactors also explode causing harm to workers. we want to reduce risks in both of civil sectors and wars. |
447 | 7264 | FMS | IndustryInnovationAndInfrastructure | drivers. Circling around for long periods of time searching for an available space not only wastes valuable time but also contributes to increased traffic congestion and pollution. Often, drivers believe they’ve found a spot, only to discover it’s already occupied, resulting in further delays and stress. The problem becomes even more significant for parking lot owners, who struggle to manage space efficiently while ensuring that vehicles are parked in an organized manner. This inefficiency leads to lost time, increased fuel consumption, and unnecessary carbon emissions, all of which affect both drivers and the environment. FindMySpot offers a solution to this pressing issue by introducing a real-time parking management system equipped with sensors that can detect whether a parking space is occupied or available. By installing these sensors in each parking space, FindMySpot provides instant visual indicators that guide drivers to available spots quickly and easily. The system communicates this information through dynamic signage placed strategically around the parking area, showing the number of available parking spots and indicating the direction to reach them. This visual communication helps drivers save time and reduces the likelihood of unnecessary driving in search of a space. As a result, the time spent looking for parking is minimized, reducing overall traffic congestion in the area. Moreover, the system’s real-time data provides valuable insights for parking lot owners, enabling them to monitor and manage their parking spaces efficiently. With up-to-the-minute updates on availability, owners can optimize space usage, ensuring that every spot is used as effectively as possible. This also allows for better management of peak hours, reducing overcrowding and improving the overall parking experience for both drivers and owners. The ease of access to parking spots through FindMySpot is particularly valuable in urban areas where demand often exceeds supply. The impact of such a system extends beyond just individual convenience. By reducing the amount of time vehicles spend searching for parking, FindMySpot contributes to a decrease in fuel consumption and lowers the carbon footprint of urban areas. It aligns with the goals of creating sustainable cities, where technology is used to streamline urban living, reduce waste, and improve quality of life for citizens. By helping to reduce congestion, the system not only enhances the driving experience but also supports environmental sustainability. In terms of categorization, FindMySpot clearly falls within the realm of infrastructure innovation. It leverages technology to improve the efficiency and functionality of urban infrastructure, enhancing the way public and private spaces are managed. It also contributes to the broader goals of sustainable cities, as its implementation leads to reduced energy consumption, lower emissions, and improved urban mobility. Thus, FindMySpot is not just a solution to a common problem; it is a step toward creating smarter, more sustainable cities. |
448 | 7265 | Tashkeel | QualityEducation | In Pakistan, with approximately 890,000 abortions and over 4,200 child abuse cases reported annually, along with rising pornography consumption, the lack of sex education is a major contributing factor. Our solution Tashkeel is an online platform, seeking to reduce the stigma around sex education and to promote a healthier, more informed attitude. By providing culturally sensitive, age-appropriate content, Tashkeel aims to address misinformation, harassment, and reproductive health issues, making it the ideal solution for Pakistan. |
449 | 7266 | Agroven | IndustryInnovationAndInfrastructure | We will be working on our idea in stages, starting with organic customized gardening to rival nurseries and generate revenue. Next, we’ll implement a land-use plan: rent your land on yearly contracts for our skilled farmers to cultivate or hire them to work based on your preferences. Maximize idle land’s potential, earn income, and digitalize sustainable agriculture. |
450 | 7267 | Eco-Flow | AffordableAndCleanEnergy | This project designs a hybrid system combining wind and wave energy to meet Pakistan's energy needs. Using a Savonius turbine and oscillating wave converter, it generates power efficiently. Focusing on coastal areas, it enhances energy sustainability via durable materials and cost-effective solutions. |
451 | 7269 | SightBrowser | Other | SightBrowser is an AI-powered browser designed specifically for the visually impaired. By using natural language processing, it understands voice commands and performs complete execution of specified tasks. Starting from a command like "Get me a pizza" all the way up to Carrying out the payment. |
452 | 7270 | Bilingo | Partnerships | BiLinGo is an innovative accent training app that helps users improve and master specific accents to develop better communication and cultural immersion. Using speech recognition with machine learning, the software provides real-time feedback that can help users know quickly where they are going wrong. Key features include native accent playback, voice recording, and personalized feedback, gamified learning elements such as progress tracking, levels, and leaderboards to keep the user engaged and motivated. BiLinGo was created for language learners, students, travelers, corporate trainers, and speech therapists who want to develop their skills in a friendly and supportive atmosphere. The app is designed to make use easy with an intuitive interface and secure user authentication, and by its cloud-based functionality, allowing for flexibility and reliability. By promoting inclusive education, reducing communication barriers, and enhancing employability, BiLinGo has aligned with Sustainable Development Goals, fostering global connectivity and social cohesion. It does represent a step forward into creating impactful, accessible language-learning tools. |
453 | 7271 | ReLife | ClimateAction | Relife is an eco-friendly startup focused on addressing deforestation and waste management by producing innovative pencils made from recycled paper. Each pencil is designed with a seed-tipped end, allowing users to plant it after use, contributing to reforestation. We aim to tackle environmental issues such as deforestation, paper waste, and pollution while promoting sustainability through education. Our primary market includes schools, colleges, and universities, and we already have a strong customer base with institutions like National Grammar Schools, IAC, and UOL. Relife is committed to creating a greener future by offering an affordable, sustainable product with a positive environmental impact. |
454 | 7272 | HealthBox AI | GoodHealthAndWellBeing | HealthBox AI is a portable, AI-powered diagnostic tool designed for rural areas. It processes blood samples using imaging and AI to detect bacterial and viral diseases, offering affordable, reliable, and rapid diagnostics without advanced lab facilities. |
455 | 7274 | Comfort Meets Modesty | GoodHealthAndWellBeing | Hijab-wearing women often face scalp-related challenges such as irritation, excessive sweating, heat buildup, dandruff, and hair loss, resulting from prolonged coverage, poor ventilation, and fabric friction. These issues are exacerbated by the lack of functional solutions and hijab accessories’ designs that address comfort and scalp health while maintaining cultural and religious appropriateness along with aesthetic preferences. This project aims to design a solution that seamlessly integrates into the daily lives of hijab-wearing women, offering enhanced comfort, ventilation, and scalp protection without compromising modesty or style. By blending innovation with cultural sensitivity, this project seeks to empower women, enabling them to feel confident and comfortable in their choices while promoting healthier living. Adopting a user-centered design approach, initial research highlights key factors such as fabric tightness, prolonged wear, moisture retention, the proximity of fabric to the scalp, and friction as primary contributors to scalp discomfort. The outcome of this project will be a culturally sensitive, functionally superior hijab solution that addresses the unmet needs of hijab-wearing women, filling a significant market gap. This product aims to improve the overall well-being of hijab-wearing women by offering a practical, aesthetically pleasing, and health-conscious solution, ensuring their comfort and confidence in daily life. |
456 | 7275 | Adjustable Prosthetics | GoodHealthAndWellBeing | An estimated 1 in 200 children worldwide lives with limb differences, confronting multifaceted challenges that extend beyond physical mobility. For growing children, the need for prosthetic devices becomes an ongoing issue as their bodies develop, necessitating frequent replacements that are both expensive and logistically demanding. Standard prosthetics, typically designed with fixed dimensions, fail to adapt to this growth, placing a significant financial strain on families, especially in low-income or resource-limited settings. This often results in children spending prolonged periods without suitable prosthetics, severely impacting their mobility, independence, and overall development during crucial stages of growth. Access to prosthetic care and rehabilitation services is further limited by high costs, inadequate healthcare infrastructure, and a shortage of trained professionals, particularly in rural and underserved areas. Families must often travel long distances to access care, adding to their financial and emotional burden. Beyond these logistical challenges, children with limb differences frequently face social stigmatization, which can lead to exclusion from peer activities, schooling, and community engagement, adversely affecting their emotional and psychological well-being. This project seeks to address these gaps by designing modular, cost-effective prosthetics that adapt to the growth of the child. These designs focus on affordability, durability, and ease of use, making them accessible to families in resource-constrained settings. Complementing the physical solution is a holistic rehabilitation strategy that prioritizes emotional resilience, confidence-building, and social inclusion, ensuring that children with limb differences can lead active, empowered lives. |
457 | 7276 | Motorbike safety | GoodHealthAndWellBeing | Road safety incidents are a prominent concern plaguing countries with a low socio-economic background. These issues are evident in Pakistan, where few people abide by the traffic rules and regulations, more than half of households utilize a motorbike as their primary means of transport, and the use of safety devices is negligible. While adults in Pakistan may be conditioned to accept this situation, it impacts the child passengers (2-12 years) intensely, due to the proportional differences and sensitive structure of the children. It is essential to consider how to improve road safety for child passengers on motorbikes, with the aim of fostering positive behaviour towards safety measures and encouraging their use. This project aims to understand how the safety and comfort of child passengers on motorbikes can be improved by addressing the environmental and physical limitations they encounter, thereby ensuring a safer and more efficient journey. These selected themes present different perspectives on how safety could be enhanced by prioritizing the health and well-being of children and highlighting threat areas to eliminate them. Along these lines, the cultural and contextual riding habits of Pakistani passengers and drivers also come into play, as internationally set standards may not be applicable in Pakistan due to differences in motorbike usage. Furthermore, extreme weather conditions and subpar road quality impede safe journeys. By considering these constraints, a tangible solution is to be developed that centers around child passengers, both as front seat riders and pillions on motorcycles, thereby eliminating most risks to their health and preventing injuries while remaining relevant to the Pakistani context. This context ranges from riding habits to the logic and reasoning behind the non-use of safety devices among Pakistanis. Solutions must cater to these factors by creating easy-to-use and culturally relevant safety devices. Additionally, these solutions would be incomplete without considering climatic restrictions; therefore, they need to be adaptable and flexible for use in different contexts. Addressing these factors would enhance child safety and create opportunities for culturally based safety devices, providing a more efficient means of transport. |
458 | 7277 | Solar Bloom | ZeroHunger | This project integrates agrivoltaics with red and blue wavelength lights under solar panels to enable plants to photosynthesize naturally during the day and artificially at night, boosting yields. Excess solar-generated electricity can be used to power other farm operations, leading to increased food production and sustainable energy utilization |
459 | 7278 | Bed Mobility Aid | GoodHealthAndWellBeing | Individuals with limited mobility, particularly the elderly, post-recovery surgery patients and those with chronic illnesses face significant challenges in transitioning from lying to sitting positions, often leading to muscle atrophy, functional decline, and complications such as bedsores and ventilator-associated pneumonia (VAP). These issues diminish the quality of life for nearly 35% of older adults with mobility limitations. Furthermore, improper handling of patients can sometimes result in permanent paralysis. Caregivers, predominantly women, face considerable physical and emotional strain. 75% to 95% of caregivers suffer from musculoskeletal disorders from lifting and repositioning patients. This strain contributes to caregiver burnout and health decline. Existing solutions such as hospital bed hoists, are often expensive, bulky, and impractical for home use. The proposed bed mobility aid offers an ergonomic, adaptable, and cost-effective solution designed to promote user independence and dignity. It reduces caregiver strain by facilitating safer, easier transitions from lying to sitting positions. By enhancing comfort and usability in home environments, this innovative product improves the quality of life for individuals with limited mobility and their caregivers. |
460 | 7279 | Smile Sense AI | GoodHealthAndWellBeing | SmileSense is an innovative AI-based dental care application designed to revolutionize oral health management. Using cutting-edge machine learning and image recognition technology, SmileSense enables users to monitor their dental health in real time. The app analyzes photos of users' teeth and gums, providing detailed insights into potential dental issues such as cavities, gum disease, and alignment problems. Personalized recommendations for oral care routines, including brushing techniques and dietary suggestions, are delivered based on individual needs. SmileSense also features reminders for regular check-ups, offers virtual consultations with dental professionals, and integrates with wearable devices for continuous health tracking. By leveraging AI to deliver accurate, actionable advice, SmileSense empowers users to take proactive control of their oral hygiene, promoting long-term dental health and preventing costly interventions. |
461 | 7280 | Complaint Portal | SustainableCitiesAndCommunities | The Karachi City Complaint Portal (KCCP) is an online platform designed to streamline the process of lodging complaints related to civic issues. It provides easy access to complaint registration, status tracking, and document services. By addressing bureaucratic inefficiencies, it empowers citizens and ensures timely resolution of grievances, promoting accountability and transparency. |
462 | 7281 | Jarvis AI | IndustryInnovationAndInfrastructure | Modern life is being revolutionized by home automation, which incorporates AI to improve efficiency, security, and comfort. Inspired by fictitious intelligent assistants, this project presents a customized home automation system with "Jarvis AI," which offers smooth control and sophisticated functionality. The technology allows people to connect with their houses in an intuitive way by utilizing machine learning, natural language processing (NLP), and voice recognition. Real-time monitoring, customized routines, energy management, and remote device control are important features. Jarvis AI learns user preferences, minimizes resource utilization, and improves overall comfort by utilizing adaptive learning and IoT protocols to link devices. The goal of this project is to show how AI-powered home automation may be used to create sustainable and intelligent living spaces. |
463 | 7283 | ASCEND | IndustryInnovationAndInfrastructure | The project develops a cost-effective wall-climbing robot for tasks like cleaning and inspection in high-rise buildings. Combining lightweight materials, omnidirectional mobility, and reliable adhesion mechanisms, the robot improves accessibility and reduces risks. Locally sourced components ensure affordability, serviceability, and adaptability to industrial needs. |
464 | 7284 | SkyHire | IndustryInnovationAndInfrastructure | SkyHire is a groundbreaking drone-on-demand platform that allows users from anywhere in the world to explore and capture stunning aerial visuals of any location remotely. Through a smart, game-like mobile app, users control drones to take breathtaking photos and videos safely within geo-defined zones. Equipped with real-time streaming, automated safety features, and intelligent control systems, SkyHire ensures seamless drone flights while adhering to local regulations. Whether for travel exploration, event coverage, or creative projects, SkyHire makes professional aerial content accessible, inspiring users to Fly. Capture. Create. Inspire. |
465 | 7285 | Soundproof Panels | IndustryInnovationAndInfrastructure | The demand for effective soundproofing solutions in commercial spaces such as hotels, offices, and auditoriums highlights a pressing need for improved materials that ensure both acoustic performance and sustainability. Current panels in the industry often fail to deliver adequate soundproofing, leaving a significant gap in addressing noise transmission issues. Our project proposes the development of innovative soundproof concrete panels that are not only highly effective in reducing noise but also environmentally sustainable. Our idea focuses on leveraging waste materials to design panels with enhanced soundproofing capabilities. Crumb rubber, obtained from recycled tires, is envisioned as a partial replacement for traditional aggregates, offering superior sound absorption due to its elastic and porous properties. In addition, bagasse ash, a by-product of the sugar industry, and powdered glass, derived from recycled glass waste, are proposed as partial substitutes for cement and sand, respectively. This approach aims to reduce the environmental impact of the panels by decreasing reliance on non-renewable resources and incorporating waste materials that would otherwise contribute to pollution. One of the key advantages of our panels is their lightweight nature. The use of crumb rubber and powdered glass reduces the overall density of the concrete, which in turn decreases the dead load of the building. This lightweight feature not only makes the panels easier to handle and install but also helps in reducing the structural load on buildings, offering potential cost savings in construction. The proposed panels are intended to address the shortcomings of conventional soundproofing solutions by combining advanced noise-dampening properties with the durability and strength associated with concrete. Through careful design and material optimization, we aim to achieve panels that meet the sound transmission class standards while maintaining cost-effectiveness and sustainability. |
466 | 7287 | IOT Based Smart Waste Monitoring System | SustainableCitiesAndCommunities | The objective of the Smart waste monitoring system is to revolutionize traditional waste collection methods by introducing a technologically enhanced and efficient alternative. By providing real-time monitoring capabilities, this system solves the drawbacks of the previous waste monitoring systems. This project integrates concepts from database man- agement, web development, electronics, and information technology. The interdisciplinary nature of the initiative is reflected in the focus placed on these varied courses. IoT and smart cities research, with a particular emphasis on real-time garbage monitoring, form the project’s foundation. The investigation, which draws on assessments of the literature on trash monitoring systems, identifies shortcomings in the systems that are in place now, including erratic collections, ineffective sensor integration, and a deficiency of automated alerting systems. This project’s methodology, which adheres to the software development life cycle (SDLC), blends objectoriented and structural techniques. This decision guaran- tees a methodical and thorough development approach. The project seeks to overcome the shortcomings found in the current waste monitoring systems within the framework of the literature review study. The suggested system aims to optimize waste management procedures by using IoT and smart technologies to achieve real-time monitoring, effective waste collection, and automated alerting systems. The necessity for an organized and iterative development process informed the methodology and SDLC model selected for the project. The project seeks to balance efficiency, scalability, and maintainability across the software development life cycle by merging structural and object-oriented approaches. The thorough overview of the system’s functionality includes important use cases such alert production, online interface, data visualization, user authentication, and security measures. The ensuing stages of design and implementation are built upon these use cases. |
467 | 7288 | Legal Search | PeaceJusticeAndStrongInstitutions | The legal sector lacks platform for searching Intellectual Property cases and ordinances. Current systems fail to link judgments, articles, and related cases, leaving users to manually search vast, unstructured data. Our solution fills this gap by searching similar cases or ordinances. |
468 | 7294 | ViRAAS | IndustryInnovationAndInfrastructure | Viraas Vision-Based Road Anomaly Assessment System is an innovative real-time solution for enhancing road safety and infrastructure reliability. Using a Raspberry Pi 4 and a camera, the system detects and segments potholes and cracks, enabling proactive maintenance. Tailored for South Asian roads, our custom dataset ensures accurate performance across diverse conditions. Powered by the YOLOv8 model, Viraas offers a cost-effective approach to minimizing road hazards and optimizing maintenance strategies. |
469 | 7297 | Art in Motion | QualityEducation | The Art in Motion project is designed for children, educators, and creatives who want to animate children's drawings without requiring technical expertise. Its easy to use platform transforms static 2D drawings into dynamic animations, making it accessible for schools, art programs, and parents. The system's modular design ensures scalability and performance, with real-time collaboration allowing multiple users to engage and animate drawings simultaneously, fostering creativity in a fun, interactive way. |
470 | 7299 | INFALYTICS | IndustryInnovationAndInfrastructure | Infalytics is a cloud-based data analytics solution developed to turn business data into insights in seconds. It has natural language processing making it easy for any user to carry out data analysis and gain insights for successful business results. Infalytics is able to help individual organisations to unlock various opportunities and manage organisational performance with the use of Artificial Intelligence. |
471 | 7300 | KIDDEEN UNIVERSE | QualityEducation | The "Kids Learning App" is an educational platform designed for children across three age groups, offering a range of engaging content tailored to their developmental needs. This mobile application aims to provide an interactive learning experience through Islamic educational games, cartoons, stories, and other content. Parents can create accounts for their children, select appropriate age groups, and customize the content according to their child's learning stage. By integrating fun and faith-based content, the app encourages children to explore, learn, and develop key values in a safe and nurturing environment. Additionally, the app offers easy navigation for parents to monitor and manage their children's learning journey. With a focus on both education and entertainment, this app provides a unique and holistic approach to children's digital engagement. |
472 | 7301 | HEFA-Biodiesel Production from Waste Oil | AffordableAndCleanEnergy | Hydrotreated Esters and Fatty Acids (HEFA), also referred to as Hydrotreated Vegetable Oil (HVO), is an advanced biofuel derived from renewable feedstocks such as waste cooking oil, palm oil, and other vegetable oils. Through the hydrotreatment process, hydrogen reacts with triglycerides in a reactor under controlled conditions, converting the vegetable oil into high-quality hydrocarbons comparable to conventional diesel. This makes HEFA a viable and sustainable substitute for fossil fuels. The hydrotreatment process occurs at elevated temperatures (350–400°C) and pressures (30–100 bar) in the presence of catalysts such as nickel-molybdenum or aluminum oxide. A key chemical reaction, hydrodeoxygenation, removes oxygen from triglycerides by forming water and high-carbon compounds, resulting in a cleaner, more efficient fuel. HEFA offers several advantages over traditional biodiesel, including a higher cetane number, superior cold-flow properties, and exceptional oxidation stability. These attributes enable it to perform seamlessly in existing diesel engines without requiring modifications. Additionally, the absence of oxygen in HEFA leads to significantly lower emissions, including particulates, nitrogen oxides, and greenhouse gases, contributing to a healthier environment. HEFA's ability to utilize waste cooking oil enhances sustainability by recycling materials that is the main attribute to pollute the environment. This supports a circular economy by reducing waste production and greenhouse gas emissions, lowering carbon footprints compared to fossil fuels. Despite its many benefits, challenges like high hydrogen costs and catalyst consumption make pilot-scale production expensive. Optimizing reactor design and process parameters can further improve efficiency and economic feasibility. |