| S.No | Project ID | Idea Name | Domain | Abstract | University |
|---|---|---|---|---|---|
| 101 | 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. | SSUETKarachi |
| 102 | 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. | SSUETKarachi |
| 103 | 6832 | 5G Revolution | IndustryInnovationAndInfrastructure | This project aims to build a 5G Open Radio Access Network (O-RAN) using software-defined radios (SDRs) to create a faster, efficient network. O-RAN allows rapid upgrades without costly hardware. It splits tasks between the Radio, Control and Distributed Units. SDRs offer flexibility and interoperability. This system can enhance 5G networks in cities and tactical environments. | NUST |
| 104 | 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. | SSUETKarachi |
| 105 | 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. | SSUETKarachi |
| 106 | 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. | NUST |
| 107 | 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. | SSUETKarachi |
| 108 | 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. | SSUETKarachi |
| 109 | 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. | SSUETKarachi |
| 110 | 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. | SSUETKarachi |
| 111 | 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. | SSUETKarachi |
| 112 | 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 | NUST |
| 113 | 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. | SSUETKarachi |
| 114 | 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. | SSUETKarachi |
| 115 | 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. | NUST |
| 116 | 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. | NUST |
| 117 | 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. | NUST |
| 118 | 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. | NUST |
| 119 | 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. | SSUETKarachi |
| 120 | 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. | SSUETKarachi |
| 121 | 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. | NUST |
| 122 | 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. | SSUETKarachi |
| 123 | 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. | SSUETKarachi |
| 124 | 6853 | nonoautoguard coatings | IndustryInnovationAndInfrastructure | Smart nano-coatings for rust resistance offer advanced protection for automotive parts, enhancing durability and performance. These coatings incorporate nano-encapsulated corrosion inhibitors that activate under harsh conditions, preventing rust and extending component lifespan. Cost-effective and environmentally friendly, this innovation reduces maintenance, improves safety, and supports sustainable automotive manufacturing. | University of Agricultual Fiasalabad |
| 125 | 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. | NUST |
| 126 | 6855 | Gesture Vox | NoPoverty | The aim of this project is to develop wearable gloves capable of translating sign language gestures in Pakistani Sign Language (PSL) into text and speech using machine learning models. The gloves will be equipped with flex sensors and accelerometer to capture movements of hands and fingers, which will be processed by a microcontroller. Machine learning will be used by the system to recognize gestures and output the corresponding words. The goal of this project is to bridge the communication gap between the signer community and non-signers in Pakistan. | NUST |
| 127 | 6856 | ID Raptor | Other (Security and surveillance operations) | 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. | University Of Engineering and Technology Taxila |
| 128 | 6857 | SkinCancerDetection | Other (Health Care) | 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. | SSUETKarachi |
| 129 | 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. | SSUETKarachi |
| 130 | 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. | SSUETKarachi |
| 131 | 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. | Karachi Institute of Economics and Technology , Karachi |
| 132 | 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. | SSUETKarachi |
| 133 | 6862 | GHGEMS | SustainableCitiesAndCommunities | Our project aims to create a Greenhouse Gas Emissions Monitoring System for industrial and urban areas in Pakistan. Using advanced sensors and IoT technology, it will provide real-time data on CO₂, CH₄, and O₃ levels. The system will identify emission hotspots, support regulatory compliance, and offer timely alerts for intervention, enhancing air quality and promoting environmental sustainability. | University Of Agriculture Faisalabad |
| 134 | 6863 | Robotic Waiter | IndustryInnovationAndInfrastructure | The project’s goal is to Design, manufacture and deploy a low-cost, mobile robot that can automate the job of a waiter in a restaurant environment. The robot is driven by 4 motors and controlled by a portable computer. It uses Depth cameras for navigation and obstacle avoidance. It is capable of advanced path planning and is IoT enabled so it can be commanded to carry food, drinks and dishes to and from tables/kitchen without spilling them. The robot is intended to help with labor shortages and boost profits while also attracting new customers. | NUST |
| 135 | 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! | SSUETKarachi |
| 136 | 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. | SSUETKarachi |
| 137 | 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. | SSUETKarachi |
| 138 | 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. | SSUETKarachi |
| 139 | 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. | NUST |
| 140 | 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. | SSUETKarachi |
| 141 | 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. | NUST |
| 142 | 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. | NUST |
| 143 | 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. | SSUETKarachi |
| 144 | 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. | NUST |
| 145 | 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. | SSUETKarachi |
| 146 | 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. | SSUETKarachi |
| 147 | 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. | SSUETKarachi |
| 148 | 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. | SSUETKarachi |
| 149 | 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. | NUST |
| 150 | 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. | SSUETKarachi |
| 151 | 6880 | Forun | IndustryInnovationAndInfrastructure | Forun is a last mile logistics provider, we help businesses truly connect with their customers by providing instant delivery services (within city) to our clientele. Our inhouse riders help us fulfil our clients' tailored requirements while ensuring parcel integrity, safety and round the clock tracking. Currently our services are operational in Islamabad and Rawalpindi to our limited clientele (helps us to ensure quality and efficiency) Along with this we also empower small businesses with d2c and b2c services - we help them sell and deliver their products via our multi-vendor marketplace (Forun.store) At Forun we are committed to working towards empowering businesses and enable quick commerce Pan Pakistan. In the near future we hope to establish fully automated Micro Fulfilment Centers enabled with hyperloop tech allowing us to connect with our network (outlets, clients, customers) with the need to road transport them btw locations. | NUST |
| 152 | 6881 | Automated Reconnaissance | Other (Ethical Intelligence and Investigations) | 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. | NUST |
| 153 | 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. | SSUETKarachi |
| 154 | 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 | NUST |
| 155 | 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. | NUST |
| 156 | 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. | NUST |
| 157 | 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. | NUST |
| 158 | 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. | NUST |
| 159 | 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. | NUST |
| 160 | 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. | NUST |
| 161 | 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. | NUST |
| 162 | 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. | NUST |
| 163 | 6892 | 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. | NUST |
| 164 | 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. | SSUETKarachi |
| 165 | 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. | SSUETKarachi |
| 166 | 6895 | Purezza | ResponsibleConsumptionAnd Production | The beauty and personal care industry is a significant contributor to environmental pollution and waste management issues. The production and disposal of conventional skin care products result in the release of harsh chemicals, plastics, and other non-biodegradable materials into the environment. To address this issue, we propose an innovative solution that transforms organic waste into natural and effective skin care products. Our solution utilizes a proprietary technology to convert organic waste, such as fruit and vegetable peels, tea bags, and coffee grounds, into valuable skin care ingredients. These ingredients are then formulated into a range of natural and organic skin care products, including creams, serums, and masks. The benefits of our solution are multifaceted. Firstly, it reduces the environmental impact of the beauty industry by minimizing waste disposal problems and promoting sustainable practices. Secondly, it provides consumers with natural and effective skin care products that are free from harsh chemicals and artificial fragrances. Finally, it supports local communities by promoting local sourcing of organic waste and creating employment opportunities. Our solution has the potential to revolutionize the beauty industry by providing a sustainable and environmentally friendly alternative to conventional skin care products. With its innovative technology and commitment to sustainability, our solution is poised to make a positive impact on the environment and the lives of consumers. | University of Agriculture Faisalabad |
| 167 | 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. | NUST |
| 168 | 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. | NUST |
| 169 | 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. | SSUETKarachi |
| 170 | 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. | NUST |
| 171 | 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. | SSUETKarachi |
| 172 | 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. | NUST |
| 173 | 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. | NUST |
| 174 | 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. | SSUETKarachi |
| 175 | 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. | NUST |
| 176 | 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. | NUST |
| 177 | 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. | NUST |
| 178 | 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. | NUST |
| 179 | 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. | SSUETKarachi |
| 180 | 6909 | Basarat | GoodHealthAndWellBeing | Basarat smart glasses empower the visually impaired by capturing images of surroundings, processing them with a large language model (LLM), and providing detailed audio descriptions. Affordable and sleek, Basarat seamlessly integrates into daily life, enhancing independence and experiences. | NUST |
| 181 | 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. | NUST |
| 182 | 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. | NUST |
| 183 | 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. | NUST |
| 184 | 6913 | Green Hydrogen through Water | AffordableAndCleanEnergy | This project explores the production of green hydrogen through the electrolysis of water. By utilizing renewable energy sources, such as solar or wind power, to drive the electrolysis process, we can generate hydrogen gas while minimizing carbon emissions. The produced green hydrogen can be used as a clean energy carrier for various applications, including transportation, power generation, and industrial processes. This sustainable approach has the potential to significantly reduce greenhouse gas emissions and contribute to a cleaner energy future. | NUST |
| 185 | 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. | NUST |
| 186 | 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. | University of Central Punjab, Lahore |
| 187 | 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. | NUST |
| 188 | 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. | NUST |
| 189 | 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. | NUST |
| 190 | 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. | SSUETKarachi |
| 191 | 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. | NUST |
| 192 | 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. | NUST |
| 193 | 6922 | SightSwitch | GoodHealthAndWellBeing | This project focuses on developing Eye Writer, an innovative assistive eyewear device designed to empower individuals with physical disabilities by enabling them to control nearby appliances. The system integrates eye-tracking technology with smart home automation to enhance the quality of life for users. The eyewear employs a camera-based tracking system to detect and interpret eye movements, leveraging OpenCV for image processing and real-time gaze tracking. A controller, configured with embedded electronics, processes the input and communicates with connected appliances using customized communication protocols. The project combines expertise in hardware design, embedded systems, and software development to create a user-friendly, efficient, and scalable solution for facilitating independent living for disabled patients. | NUST |
| 194 | 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. | NUST |
| 195 | 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. | SSUETKarachi |
| 196 | 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. | SSUETKarachi |
| 197 | 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. | SSUETKarachi |
| 198 | 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. | NUST |
| 199 | 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. | NUST |
| 200 | 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. | NUST |