| S.No | Project ID | Idea Name | Domain | Abstract | University |
|---|---|---|---|---|---|
| 1 | 1667 | Steeping of corn with supercritical co2 and ultrasonic waves | NoPoverty | In the steeping, which has been used in the corn starch production industry for about 150 years (traditional method) to separate corn starch from protein, fibre and germ before wet milling of corn, about 1.2 m3 of water is used for 1 tonne of corn and this process takes between 36 and 48 hours. In this context, a lot of water, energy and time is spent for the steeping. This project aims to reduce energy consumption and save processing time by completely eliminating the use of water in the steeping process process. For this purpose, a specially designed supercritical CO2 extractor will be used as an alternative to the traditional method. | Gaziantep university / Türkiye |
| 2 | 1668 | Elektronik Bardak | IndustryInnovationAndInfrastructure | Çok fonksiyonlu elektronik bardak, içeceğinizi kişiselleştirmenin yanı sıra hızlı hazırlık sunar. Şarj edilebilir batarya, Peltier modülüyle soğutma ve ısıtma, güvenlik önlemleri, karıştırıcı, Arduino kontrolü ve paslanmaz çelik tasarımıyla mükemmel bir deneyim sunar. Ayrıca, iç kısmı çıkarılabilir ve yan bölmelerle çay, kahve ve şeker miktarını ayarlamak kolaylaşır. | Elazığ Fırat Üniversitesi |
| 3 | 1669 | Sustainable Hydration | CleanWaterAndSanitation | This project serves a key role in sustainable water management and optimizes water resources on green campuses. This reduces the wastage of water on a larger scale and, in return, conserves fresh water by recycling greywater, which promotes sustainability on green campuses. | Antalya Bilim Üniversitesi / Antalya - Turkey |
| 4 | 1670 | flight control | Other (enhancing the flight performance during the sudden accidents) | our project depending on the active fault tolerance control method to enhance the flight control algorithm to be suitable and adaptive for all flight situations , specially for the sudden accident during the mission of the flight vehicle ( aircraft ,quadcopter , UV aircraft , missile and helicopter) | Gaziantep university turkey -Gaziantep |
| 5 | 1671 | Energy Paint | AffordableAndCleanEnergy | Approximately 66% of global energy is wasted as heat. Thermoelectric Generators (TEGs) can convert some of this waste heat into electricity. TEGs have advantages over other green energy sources, such as quiet operation, continuous operation, and low costs. Traditional TE modules are limited to flat surfaces and are costly. This project developed a non-toxic, economical TE paint using sodium silicate and graphite, achieving a voltage of 25 mV with a 15°C difference. This paint, applied to various surfaces, enables efficient, renewable electricity from waste heat. | Istanbul University-Cerrahpasa / Istanbul |
| 6 | 1672 | Energy Paint | AffordableAndCleanEnergy | Approximately 66% of global energy is wasted as heat. Thermoelectric Generators (TEGs) can convert some of this waste heat into electricity. TEGs have advantages over other green energy sources, such as quiet operation, continuous operation, and low costs. Traditional TE modules are limited to flat surfaces and are costly. This project developed a non-toxic, economical TE paint using sodium silicate and graphite, achieving a voltage of 25 mV with a 15°C difference. This paint, applied to various surfaces, enables efficient, renewable electricity from waste heat. | Istanbul University-Cerrahpasa / Istanbul |
| 7 | 1673 | Cooling Paint | AffordableAndCleanEnergy | Cooling has a significant place in global energy consumption. Mostly, active cooling (which requires energy) is used worldwide. The large energy demand of active cooling systems has become an increasingly significant issue. Therefore, researchers have started to explore passive cooling systems that do not consume energy. One of these passive cooling systems, radiative cooling, has recently become a focal point of interest. Due to its passive nature, it has the potential to reduce urban heat island effects by lowering building temperatures and can also mitigate global warming, one of the biggest problems in recent years, by reducing CO2 emissions from cooling applications. | İstanbul Üniversitesi-Cerrahpaşa, İstanbul |
| 8 | 1674 | Wireless Rechargeable Hexacopter | IndustryInnovationAndInfrastructure | Hexacopter drone fikrimiz, denizde arama-kurtarma ve orman yangını takibi gibi görevlerde uzun süreli uçuş sağlar. Drone, üç enerji ikmal alternatifi sunarak kesintisiz görev yapabilir: kablosuz şarj, güneş enerjisi ile çalışan şarj istasyonları ve drone üzerindeki güneş panelleri ile şarj. Bu yenilikçi fikir, drone'un operasyonel süresini maksimize ederek, acil durumlarda hayat kurtarıcı rol üstlenmesini sağlar. Geliştirilen masaüstü uygulama ile drone uçuşları ve şarj istasyonları anlık olarak takip edilebilir. | Altınbaş University, İstanbul |
| 9 | 1675 | HomeFeast | NoPoverty | HomeFeast is a mobile app connecting home cooks with local customers seeking affordable, homemade meals. The platform offers cooks a new income stream while providing consumers with diverse, nutritious, and cost-effective dining options. By fostering community connections and promoting sustainable food practices, HomeFeast addresses Zero Hunger, Decent Work, and Responsible Consumption goals | İstanbul Altınbaş Üniversitesi |
| 10 | 1676 | CleanSweep Pro | IndustryInnovationAndInfrastructure | This project introduces two groundbreaking innovations in automated cleaning machines designed to enhance urban sanitation systems. These innovations focus on improving environmental sustainability, operational efficiency, and adaptability, particularly in regions with limited access to electricity. The first innovation is a semi-automatic road surface cleaning machine that combines human labor with solar energy. This design is particularly advantageous for regions with limited electrical infrastructure, leveraging abundant solar energy to power the machine and reduce reliance on non-renewable energy sources. By utilizing solar power, the machine not only decreases carbon emissions but also ensures continuous operation even in areas with unreliable electricity. The integration of human oversight with automation allows for greater adaptability and control, making the machine capable of handling diverse cleaning tasks efficiently. This synergy between human input and automated processes represents a significant advancement in sustainable urban sanitation. The second innovation is a multifunctional semi-automatic street cleaning machine equipped with a camera, Arduino programming, and GPS for autonomous operation. This machine is designed to address cost barriers in developing countries by focusing on low energy consumption and cost-effectiveness. The camera and GPS enable the machine to navigate streets autonomously, providing versatile cleaning solutions adaptable to various environmental conditions. Arduino programming ensures that the machine can be easily programmed and customized for different cleaning requirements, enhancing its overall functionality and efficiency. To ensure the precision and functionality of these machines, the design process included market sampling, detailed drawings, mathematical modeling, and SOLIDWORKS simulations. These rigorous methods ensure that the machines are not only theoretically sound but also practically viable. The use of SOLIDWORKS simulations allows for virtual testing of the machines, confirming that they meet all design specifications and performance criteria before the construction of physical prototypes. By integrating solar energy with autonomous operating systems and meticulous design, these innovations signify substantial progress in sustainable urban sanitation, especially in developing regions. They offer practical, cost-effective, and environmentally friendly solutions to the ongoing challenge of maintaining clean urban environments. These semi-automatic cleaning machines represent a major advancement in urban sanitation technology by reducing carbon emissions, improving operational efficiency, and ensuring adaptability to various conditions. In summary, these innovations hold significant promise for advancing urban sanitation, particularly in regions where traditional cleaning methods fall short. By combining human labor with advanced technology and renewable energy sources, these machines provide a sustainable and efficient solution to the challenges of urban sanitation, promoting cleaner and healthier urban environments. | NUST |
| 11 | 1677 | CoastCleaner | IndustryInnovationAndInfrastructure | In the pursuit of bolstering coastal environmental health, this study presents a groundbreaking fully autonomous beach cleaning machine. This innovation capitalizes on green energy and advanced artificial intelligence to promote ecological preservation. The machine operates independently and is powered by a solar energy system, reflecting a commitment to sustainability and the innovative use of renewable energy in autonomous robotics. Autonomous navigation is achieved through the integration of LIDAR and a camera system. These technologies utilize an SSD MobileNet V2 object detection model to identify trash accurately and in real-time. The SSD framework, known for its efficiency in object detection across various scenarios, is paired with the lightweight and highly accurate MobileNet V2 architecture. This combination suits the computational constraints of on-board processing in mobile robotics. Training of the SSD MobileNet V2 model was conducted on Google Colab, leveraging cloud-based GPU resources for a rapid and cost-effective learning process. The model was refined with an extensive dataset of annotated beach debris. Optimization parameters included the Adam optimizer and a cross-entropy loss function, resulting in high-precision trash detection. This capability enables the machine to intelligently categorize and target waste, leading to more effective cleaning operations. This paper elaborates on the design and functionality of the beach cleaning machine, highlighting its autonomous operational capabilities and the novel application of AI in environmental robotics. The results demonstrate the potential of such technology to address existing gaps in beach maintenance, offering a scalable and eco-friendly solution to coastal pollution. The deployment of this machine marks a significant advancement in the field, establishing a new standard for integrating autonomous systems in environmental stewardship. | NUST |
| 12 | 1678 | Story Reader | QualityEducation | Our solution uses OCR technology to read stories aloud for visually impaired individuals, providing them with access to literature and entertainment. | Altinbas University |
| 13 | 1679 | YOLO- Special Object Detection | NoPoverty | The YOLO Object Detection project utilizes object recognition technologies to identify a wide variety of object classes through captured photos or live video feeds using the YOLO library. This project is particularly designed for optimizing production processes and detecting errors in the industrial sector, aiming to enhance efficiency and reduce operational costs. | Altınbaş University |
| 14 | 1680 | Driver's Eye | Other (Logistic and transportation) | Using the Artificial Intelligence, we are able to solve many problems you can’t handle with conventional logistical management. From driver quality to vehicle health, from financial savings to ease of monitoring, we have combined everything you would want in a management system. | Baku State University |
| 15 | 1681 | Programmable FPGA Phased Array Antenna | Other (Communication systems for commercial, automotive or space applications) | A programmable phased array antenna is an antenna that can change phase so direction of the pattern can be controlled to the target receiver. In our approach we try to minimize the system by using programmable FPGA and fast switch using nanotechnology. The basic system elements are Antenna Elements, Phase Shifters, Amplitude Control, Beam Steering and Digital Beamforming. In order to make the system programmable FPGA will be used to switch each antenna element so we can control the active elements needed to generate the radiated pattern. | Altinbas Univeristy |
| 16 | 1682 | Iqraversity | IndustryInnovationAndInfrastructure | Our FYP project aims to revolutionize the campus experience by developing a dynamic, real-time 3D model of the university campus. Leveraging advanced technologies such as Blender for intricate 3D modeling and Unity for seamless real-time rendering, the project offers an immersive platform for multiple users to explore the campus virtually. By incorporating user-friendly interfaces and interactive features, such as navigation controls and informational overlays, the model caters to the diverse needs of future, past, and present students. The primary objective is to provide an engaging and informative tool for prospective students to familiarize themselves with the campus environment before admission. Through this virtual exploration, users can navigate through different areas of the campus, including academic buildings, recreational spaces, and student facilities. Additionally, the model offers historical insights by showcasing the evolution of campus infrastructure over time. Moreover, the project serves as a valuable resource for current students and alumni, enabling them to reminisce about their campus experiences and stay connected with university developments. Overall, the real-time 3D model enhances decision-making for prospective students and fosters a sense of community and nostalgia among all stakeholders. | Iqra University Karachi (Main Campus) |
| 17 | 1683 | OzoFly | ClimateAction | This project aims to utilize advanced robotic technology for the recognition and monitoring of plant health. These robots will scan the leaves of plants to identify their species and detect any potential diseases, transmitting this information to a remote computer. The goal is to increase efficiency in agriculture and enable early diagnosis and intervention for plant diseases. By providing significant technological advancements and productivity gains in the agricultural sector, this project will benefit both farmers and industrial agricultural enterprises. | Baku State University |
| 18 | 1684 | CNIC scaner | ResponsibleConsumptionAnd Production | My name is hamza i am study in virtual university | NUST |
| 19 | 1685 | NanoDrop | CleanWaterAndSanitation | NanoDrop is a pioneering startup focused on delivering clean and safe drinking water through innovative nanotechnology. Our flagship product utilizes graphene oxide to create a non-electric, portable water filtration system that efficiently removes contaminants at the molecular level. Designed for areas with limited access to power, NanoDrop’s filters are cost-effective, environmentally friendly, and capable of purifying 10 liters of water in just 30 minutes. Initially targeting urban areas in Pakistan, we aim to address the critical issue of water contamination, with plans to expand into rural regions and international markets. By combining cutting-edge technology with a commitment to sustainability, NanoDrop is poised to make a significant impact on global water security. | GIKI |
| 20 | 1686 | NeuroVR Therapy | GoodHealthAndWellBeing | This project combines EEG signals and AI to provide phobia therapy through neurotherapy and virtual reality (VR). Brainwave patterns are analyzed to detect fear responses, and the VR environment is dynamically regulated based on the user’s brain signals. This real-time, adaptive approach offers personalized, immersive therapy, helping individuals overcome phobias effectively and non-invasively. | NUST |
| 21 | 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. | NUST |
| 22 | 6742 | 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. | Iqra University, Main Campus, Karachi |
| 23 | 6743 | Predictive Maintenance | IndustryInnovationAndInfrastructure | Predictive Maintenance leverages IoT sensors and machine learning algorithms to monitor machinery, predict failures, and schedule proactive repairs. This reduces downtime, extends equipment lifespan, and minimizes operational costs. The solution integrates seamlessly with industrial systems, promoting efficiency and sustainability in manufacturing and infrastructure sectors. | NUST |
| 24 | 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. | NUST |
| 25 | 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. | NUST |
| 26 | 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. | National University of Modern Languages Islamabad |
| 27 | 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. | NUST |
| 28 | 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. | University of Agriculture Faisalabad |
| 29 | 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. | NUST |
| 30 | 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. | NUST |
| 31 | 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. | NUST |
| 32 | 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. | NUST |
| 33 | 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. | NUST |
| 34 | 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. | NUST |
| 35 | 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. | NUST |
| 36 | 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. | NUST |
| 37 | 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. | NUST |
| 38 | 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. | NUST |
| 39 | 6766 | Pure Bore | IndustryInnovationAndInfrastructure | Our project focuses on developing an effective and efficient solution to cleaning bores that is currently being developed for a 125MM Tank gun but can be adapted for multiple bore sizes for sewage pipes and other cylindrical structures as well. | NUST |
| 40 | 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. | Pak Austria Fachhochchule: Institue of Applied Sciences and Technology Haripur |
| 41 | 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. | Pak-Austria Fachhochschule Institute of Applied Sciences and Technology, Haripur |
| 42 | 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. | NUST |
| 43 | 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. | NUST |
| 44 | 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. | University of Agriculture Faisalabad |
| 45 | 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. | NUST |
| 46 | 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 . | NUST |
| 47 | 6776 | Presentily | Other (Better Opportunities for under privileged Student) | 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. | NUST |
| 48 | 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. | NUST |
| 49 | 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. | NUST |
| 50 | 6779 | Augmentize | IndustryInnovationAndInfrastructure | Online shopping lacks accurate product representation, causing high return rates and dissatisfaction. This project enables vendors to create realistic, dimension-accurate 3D models from images using guided techniques. With lightweight APIs, interactive model viewers, and seamless AR integration, it enhances e-commerce by improving product visualization and customer experience. | NUST |
| 51 | 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. | NUST |
| 52 | 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. | SSUETKarachi |
| 53 | 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. | NUST |
| 54 | 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. | NUST |
| 55 | 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. | University Of Agriculture Faisalabad |
| 56 | 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. | NUST |
| 57 | 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. | NUST |
| 58 | 6787 | Sylenzz Filament | Other (Sustainability and 3D Printing ) | 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. | NUST |
| 59 | 6788 | Solpure | CleanWaterAndSanitation | Solpure: Solar-powered water purification system. Removes 99.99% contaminants. Portable, low-maintenance & eco-friendly. | SSUETKarachi |
| 60 | 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. | NUST |
| 61 | 6790 | Follow-me system | IndustryInnovationAndInfrastructure | It is a smart person-following system to be mounted on a trolley envisioned to enhance mobility and convenience in industrial and personal settings. Using environmental perception, obstacle detection and human tracking, the system guarantees safe and efficient operation. It is designed to follow its user while avoiding obstacles in real-time. Applications include various domains like retail environments, airports etc. It fuses environmental perception algorithm and obstacle avoidance algorithm with a depth camera hence providing precise tracking and obstacle avoidance. The trolley is supposed to always stay within a certain distance from the user. Its movements are controlled through motors attached to a programmed microcontroller/ single board computers like Jetson Nano. It responds to unmet societal needs especially for elderly and differently abled individuals. Unlike tradition trolley it ends the need for manual handling, offering a hands-free solution responding to modern demands. The design being user friendly and compact along with a cost-effective implementation the idea can be made accessible to a broad audience. | NUST |
| 62 | 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. | NUST |
| 63 | 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. | NUST |
| 64 | 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. | NUST |
| 65 | 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. | NUST |
| 66 | 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. | NUST |
| 67 | 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. | Pakistan Institute of Engineering and Applied Sciences, Islamabad |
| 68 | 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. | NUST |
| 69 | 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. | NUST |
| 70 | 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. | SSUETKarachi |
| 71 | 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. | SSUETKarachi |
| 72 | 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. | NUST |
| 73 | 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. | SSUETKarachi |
| 74 | 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. | SSUETKarachi |
| 75 | 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. | SSUETKarachi |
| 76 | 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. | SSUETKarachi |
| 77 | 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 | SSUETKarachi |
| 78 | 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. | SSUETKarachi |
| 79 | 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. | SSUETKarachi |
| 80 | 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. | SSUETKarachi |
| 81 | 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. | SSUETKarachi |
| 82 | 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. | SSUETKarachi |
| 83 | 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. | SSUETKarachi |
| 84 | 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. | NUST |
| 85 | 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. | SSUETKarachi |
| 86 | 6815 | 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. | SSUETKarachi |
| 87 | 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. | SSUETKarachi |
| 88 | 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. | SSUETKarachi |
| 89 | 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. | SSUETKarachi |
| 90 | 6819 | Solpure | CleanWaterAndSanitation | Solpure: Solar-powered water purification system. Removes 99.99% contaminants. Portable, low-maintenance & eco-friendly. | SSUETKarachi |
| 91 | 6820 | EcoDrive Solutions | Other (Sustainable Development Goals) | The Vehicular Emissions Control System addresses the growing issue of air pollution caused by vehicular emissions. It utilizes advanced catalytic converter technology to reduce pollutants like CO, NOx, and hydrocarbons (HC) effectively. By enhancing the performance and durability of catalytic converters, this system helps automobile manufacturers, fleet operators, and municipalities achieve compliance with emission regulations while promoting sustainability. Our primary customers include automobile manufacturers, fleet operators, and urban municipalities. With stricter global emission standards and an increasing focus on clean air solutions, this innovative system provides an essential tool for reducing vehicular pollution. | University of Agriculture Faisalabad |
| 92 | 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 | SSUETKarachi |
| 93 | 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. | NUST |
| 94 | 6823 | 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. | SSUETKarachi |
| 95 | 6824 | 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. | SSUETKarachi |
| 96 | 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. | SSUETKarachi |
| 97 | 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. | SSUETKarachi |
| 98 | 6827 | Vox Order | IndustryInnovationAndInfrastructure | VoxOrder aims to revolutionize the traditional food ordering process with cutting-edge voice AI technology, allowing customers to place orders seamlessly through natural conversations with an AI-powered voice agent. This agent understands customer preferences, accurately processes orders, and eliminates the risk of human error. Once an order is confirmed, VoxOrder ensures its swift delivery to the kitchen, optimizing food preparation time and accuracy. By leveraging advanced voice recognition and AI, VoxOrder provides a personalized and efficient ordering experience. It enhances customer satisfaction with faster service while allowing restaurant staff to focus on other critical tasks such as food preparation and quality service. | NUST |
| 99 | 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. | NUST |
| 100 | 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. | SSUETKarachi |