| S.No | Project ID | Idea Name | Domain | Abstract | University |
|---|---|---|---|---|---|
| 301 | 7030 | NeuroFusion | GoodHealthAndWellBeing | Each year, ~150,000 new brain tumor cases in Pakistan burden healthcare systems, with manual MRI reporting being time-intensive and prone to delays. NeuroFusion addresses this by automating brain tumor diagnosis and report generation. Using advanced AI for segmentation, classification, which interns gives context for report generation , it reduces reporting time, assists doctors, and ensures accurate, comprehensive diagnostic reports.Additionally, with no publicly available datasets for brain tumor report generation, we are pioneering the creation of the first-ever benchmarking dataset to advance research and innovation in this critical field. | NUST |
| 302 | 7031 | Energy Piles | AffordableAndCleanEnergy | Energy piles serve as dual-purpose structural components, providing support while conserving energy. This project explores factors influencing system efficiency, focusing on geography, climate, geotechnical conditions, and coolant types. By analyzing these parameters, the study aims to optimize energy conservation and enhance the multifunctionality of piles. | NUST |
| 303 | 7032 | SmartShield | IndustryInnovationAndInfrastructure | This project introduces a cost-effective, advanced intrusion detection system tailored for small businesses. Leveraging real-time packet capture and cloud-based anomaly detection, it provides robust network monitoring and actionable alerts. The solution minimizes cyber threats, reduces complexity, and enhances operational resilience for small enterprises. | NUST |
| 304 | 7033 | MEMO(Memory Enhancement Mobile Organizer) | GoodHealthAndWellBeing | Our project is an app designed to help Alzheimer’s patients and their caregivers manage daily routines, stay connected, and improve quality of life. The app has two dashboards—one for patients and one for caregivers—to facilitate easy communication, provide medication reminders, and support health monitoring. | SSUETKarachi |
| 305 | 7034 | TeleCardio | GoodHealthAndWellBeing | TeleCardio is a compact, AI-driven cardiac monitoring device designed for the early detection of heart conditions. It offers real-time analysis of ECG and SpO2, facilitating access to affordable healthcare for underserved communities. Utilizing advanced hardware and intelligent algorithms, the device provides essential insights that minimize the need for hospital visits and enhance the accessibility of cardiac care. | NUST |
| 306 | 7035 | SatGuard & Navigation | IndustryInnovationAndInfrastructure | It's the age of precision and security; the introduction of Global Navigation Satellite Systems (GNSS) into advanced encryption technology represents a high-powered solution in terms of secure communication and navigation. This project has its scope in the design and development of a multi-GNSS receiver system, integrating Galileo, GPS, and BeiDou, in terms of signal processing at an optimized about 88 MHz bandwidth. It's improved with a specialized algorithm for encrypting signals, ensuring secure and tamper-proof communication in critical environments. By empowering accurate navigation while safeguarding the integrity of communication signals esp. in the military applications., this project represents a great step forward in both civilian and defense sectors, providing reliable, secure, and efficient navigation services for a wide range of applications. | NUST |
| 307 | 7036 | Cellulase optimization | IndustryInnovationAndInfrastructure | Abstract: Introduction: Cellulose, the most abundant natural polymer on Earth, is a complex carbohydrate integral to plant cell walls. The hydrolysis of cellulose into fermentable sugars and other intermediates for higher value products is an essential step of many biotechnological processes. The hydrolysis of cellulose into glucose is facilitated by specific enzymes called cellulases. Cellulases have an important role in the breakdown of cellulose. They are extensively utilized in industries including food processing, textiles, and detergents. Despite this, cellulase production cost is still an industrial problem. Identifying fast-growing and economically-environmentally friendly cellulase producers is a good approach to minimize the cost of enzyme production and improve the yield of enzymes. In this study, we isolated a bacterial strain capable of producing cellulase from garden soil. The research emphasized optimizing chemical and physical conditions to maximize enzyme output. Objectives: To identify and isolate a potential cellulase-producing microorganism from garden soil. To explore eco-friendly and cost-effective methods for cellulase production using fast-growing microorganisms. To explore eco-friendly and cost-effective methods for cellulase production using fast-growing microorganisms. Materials and Methods: Sample Collection Soil samples were collected from a garden to isolate potential cellulase-producing microorganisms. Microorganisms were isolated using serial dilution and plating techniques. Screening for cellulase production was performed using specific agar media containing cellulose as the sole carbon source. Zones of hydrolysis around colonies were measured to identify cellulase producers. Optimization of Production Parameters The chemical and physical conditions influencing cellulase production were systematically optimized. Pyhsical parameters such as pH, temperature, incubation time and chemical parameters like substrate concentration, carbon sources, nitrogen sources and salt concentration were varied to determine their impact on enzyme yield. Substrate Preparation and Enzymatic Degradation Carboxy methyl cellulose (CMC) was used as substrate. The bacterial strain’s ability to degrade substrates was evaluated by measuring the release of reducing sugars using standard assays (DNS method). Enzyme Assay The dinitrosalicylic acid (DNS) method was used to measure cellulose activity. Reducing sugars released by the cellulase activity were quantified using glucose as standard. Data Analysis Experimental results were analyzed statistically to determine the significance of the optimization process. Results: The optimum temperature for the incubation was 40 °C and the ideal cellulase activity was recorded at pH 7. Enzyme production was optimum at 72 hours of incubation period. Higher cellulase activity was observed when bagasse (2%), CMC (1.5%), wheat bran (4%), and sawdust (4%) were utilized as carbon sources. Among nitrogen sources, ammonium sulfate (4%), yeast extract (4%), urea (3%), and peptone (1%) demonstrated optimal yields for cellulase production. Cellulase production increased dramatically when produced under these optimized conditions. Conclusion The aim of the present work was to isolate and identify a high cellulase producing bacteria from soil. This information of optimization regarding physical and chemical parameters has enabled the ideal formulation of media composition for maximum cellulase production. Molecular identification of newly isolated bacterial strain, characterization purification and immobilization of cellulase will also be done in further for betterment of enzyme. Keywords CMC, Cellulase production, DNS method, Optimization. | JINNAH UNIVERSITY FOR WOMENI (KARACHI) |
| 308 | 7037 | MULTIFUNCTIONAL HYDROGEL SPRAY | GoodHealthAndWellBeing | The growing demand for advanced healthcare solutions has led to innovative research into biocompatible and multifunctional materials. Among these, hydrogels have emerged as a key focus. Hydrogels are three-dimensional, water-absorbing polymeric networks that mimic the extracellular matrix, making them highly suitable for biomedical applications. Their ability to retain moisture, provide a protective barrier, and deliver bioactive compounds makes them especially promising for wound healing. This project introduces a novel sprayable hydrogel composed of biopolymers, antimicrobial peptide-loaded chitosan nanoparticles, and naturally derived pigment as a pH biosensor. The hydrogel formulation leverages natural, bioactive compounds for both therapeutic and diagnostic benefits. Chitosan nanoparticles, loaded with antimicrobial peptides, provide targeted antibacterial activity to combat wound infections. Additionally, the naturally derived pigment, enables pH-based wound monitoring through visible color changes, offering real-time feedback on the healing process. The sprayable nature of this hydrogel ensures ease of application, making it user-friendly for both healthcare professionals and patients. Unlike traditional dressings, which may be difficult to apply on irregular or sensitive wound surfaces, this formulation can be evenly distributed as a fine mist, ensuring complete coverage without causing additional discomfort. This feature also reduces the risk of contamination and promotes efficient use of the material. The eco-friendly and cost-effective hydrogel offers a dual-function system, combining wound healing and monitoring in a single solution. By utilizing natural biopolymers and pigments, it minimizes environmental impact while delivering superior therapeutic outcomes. This innovative approach not only addresses challenges in wound management but also provides a sustainable alternative to conventional wound care solutions. | NUST |
| 309 | 7038 | Bioremediation of Textile Dyes | CleanWaterAndSanitation | This project investigates the sustainable degradation of textile dyes using bioremediation employing immobilized bacterial cells. Because textile dyes are poisonous and challenging to remove using traditional methods, textile dyeing operations greatly contribute to environmental contamination. By improving the stability and effectiveness of microbial systems in degrading complicated dye compounds, the use of immobilized bacteria presents a possible substitute. This method seeks to increase the durability and efficacy of the bioremediation process by immobilizing particular bacterial strains that are known for their capacity to degrade dyes onto a variety of support materials. In order to support environmental conservation and the circular economy in the textile industry, this project focuses on improving immobilization techniques, measuring degrading efficiency, and assessing the possibility for large-scale application in wastewater treatment. | Jinnah University for Women, Karachi |
| 310 | 7039 | SaferSight Surveillance System | PeaceJusticeAndStrongInstitutions | SaferSight is a security system that employs advanced AI technology for continuous real-time monitoring, significantly improve public safety by quickly detecting illegal activities and weapons. Utilizing a deep learning model, he system ensure fast intervention through instant notifications, strengthens authorities to preemptly address potential security threats. Moreover, users will be able to ask natural language queries about the particular video to the system. This interactive approach empowers user to gain deeper insights from the surveillance feed, facilitating efficient monitoring, identifying and tracking of the events occurring in the video footage. | Jinnah University For Women Karachi |
| 311 | 7040 | CyberRange Automation | IndustryInnovationAndInfrastructure | This project, Cyber Range Infrastructure Automation as Code for CTFd on OpenStack, streamlines the deployment and management of cybersecurity training environments. By integrating OpenStack APIs with CTFd, it automates provisioning, scaling, and cleanup, reducing manual effort and operational costs. Designed for CTF events and training, it ensures scalability, efficiency, and seamless operation. | NUST |
| 312 | 7041 | Defense Monitoring | PeaceJusticeAndStrongInstitutions | This project presents an innovative approach to automated detection of construction and buildings using satellite imagery and change detection techniques. Leveraging high-resolution satellite imagery from timeline. This project employs machine learning algorithms and image processing techniques to identify changes in land and detect new construction and buildings. The proposed methodology utilizes a combination of spectral and spatial features to accurately detect changes and classify them as construction or non-construction activities.It is intelligence gathering project to be used by defense sector | NUST |
| 313 | 7042 | Entrepreneur Growth Guide | DecentWorkAndEconomicGrowth | The Entrepreneur Growth Guide project supports Karachi's small businesses and locals by connecting them with mentors for strategic guidance and tailored growth solutions. | SSUETKarachi |
| 314 | 7043 | Bacterial cellulase | IndustryInnovationAndInfrastructure | This study isolated cellulase-producing bacterial strains (DM1, DM2, DM3) from soil using serial dilution, streak plate, and Congo red staining methods. Cellulase production was performed using CMC as a substrate, and enzyme activity was measured via the DNS method. Results showed DM1 had the highest activity, highlighting its potential for sustainable cellulose degradation and industrial applications. | Jinnah University For Women |
| 315 | 7044 | Presentily | QualityEducation | Presentily will be an AI-powered platform enhancing presentation skills, especially for rural individuals. It offers document-reading, presentations to Bot, and AI feedback on fluency, grammar, and confidence, interactive pairing, and a module for language improvement. Presentily bridges gaps in resources, fostering communication mastery | NUST |
| 316 | 7045 | Sustainable Water Drainage | CleanWaterAndSanitation | This exposure has been made worse by the effects of urbanization in increasing the concentration and frequency of storms, flooding, water pollution, and erosion associated with climate change. Conventional systems of storm drain networks do not adequately offer a solution to these issues. The purpose of this project is the design of a sustainable storm waste collection and drainage system with focus on use of recycled plastics and other products, environmentally friendly and contributes to water table retention. | NUST |
| 317 | 7046 | Knowledge Bridge | QualityEducation | Knowledge Bridge addresses knowledge loss in organizations due to senior staff departures. Using Generative AI and Retrieval-Augmented Generation (RAG), it creates a chatbot to transfer critical insights from senior employees to junior staff. This ensures seamless knowledge retention, efficient onboarding, and enhanced operational productivity, fostering a continuous learning environment. | SSUETKarachi |
| 318 | 7047 | KarobarBox | DecentWorkAndEconomicGrowth | This project focuses on enhancing digital payment experiences for businesses in Pakistan. As the customer makes a digital payment to shopkeeper, Instead of verifying that payment on phone by opening banking app, login and checking the payment , KarobarBox streamlines this process by playing that sound on the speaker | NUST |
| 319 | 7048 | Drive Able | ReducingInequality | With 1.3 billion people worldwide living with disabilities, mobility remains a key challenge for those with lower limb paralysis. The System replaces traditional foot pedals with hand-operated controls, enabling independent driving. This innovation promotes accessibility, autonomy, and improved quality of life for a historically underserved community. | NUST |
| 320 | 7049 | Green Grill Burgers (Plant Based Meat Patties) | GoodHealthAndWellBeing | Green Grill Burgers is a plant-based meat alternative designed to promote better health and sustainability. As global health concerns shift towards non-communicable diseases such as heart disease, obesity, and type 2 diabetes, Green Grill offers a solution that aligns with SDG 3: Good Health and Well-being. This product is particularly beneficial for individuals with hyperlipidemia (high cholesterol levels), a condition that significantly raises the risk of cardiovascular diseases. By replacing traditional meat with a plant-based option, Green Grill Burgers help reduce the intake of saturated fats and cholesterol, two major contributors to elevated blood lipid levels. Green Grill Burgers are crafted from nutrient-dense plant ingredients, offering a cholesterol-free, lower-fat alternative to animal-based burgers. This makes them an ideal choice for individuals managing hyperlipidemia, as well as those seeking to adopt healthier dietary habits. Plant-based proteins, fiber, and healthy fats found in Green Grill contribute to improved heart health, better digestion, and overall well-being. These benefits support SDG 3’s goal of reducing the prevalence of diet-related chronic diseases and improving the quality of life for individuals across the globe. Furthermore, Green Grill Burgers are part of a larger movement towards sustainable food choices. The environmental impact of traditional meat production—contributing to greenhouse gas emissions, land degradation, and water usage—is a significant factor in global climate change. By offering a plant-based alternative, Green Grill directly contributes to SDG 12: Responsible Consumption and Production, encouraging consumers to make environmentally conscious choices that benefit both their health and the planet. In conclusion, Green Grill Burgers offer a nutritious and sustainable solution to improving health outcomes, particularly for those with hyperlipidemia. By providing a healthier alternative to traditional meat, Green Grill supports the global effort to reduce the burden of diet-related diseases, foster well-being, and contribute to environmental sustainability. This aligns with both health and sustainability objectives, making Green Grill a key player in the pursuit of SDG 3 and SDG 12. | University of Central Punjab, Lahore |
| 321 | 7050 | Foreign Object Debris (FOD) Detection System | Other (Aviation Safety using Computer Vision) | Foreign Object Debris (FOD) on runways poses a significant threat to aviation safety, potentially leading to costly damages and catastrophic accidents. This project aims to develop an AI-powered FOD detection system leveraging computer vision and the YOLOv5 model, known for its high-speed and accurate real-time object detection capabilities. The system uses a custom-trained dataset to identify FOD, pinpoint its location on the runway, and promptly alert authorities for rapid intervention. By integrating cutting-edge technologies, this solution addresses the critical need for efficient and reliable FOD detection, ensuring safer runway operations and minimizing risks to aircraft and personnel. | NUST |
| 322 | 7051 | Refractory Revolution | IndustryInnovationAndInfrastructure | Our project aims to increase the lifespan of refractory bricks used in the ladle furnace for steel production. This can be achieved through few microns thick nanoparticle coatings. These coated bricks sustain a higher number of heat cycles leading to a lesser number of ladle preparations per year and improved economic efficiency of the steel industry. | NUST |
| 323 | 7052 | Pavement Overlay Design Using ECC | IndustryInnovationAndInfrastructure | Aging roads demand sustainable rehabilitation methods to ensure durability and performance. This study explores Engineered Cementitious Composites (ECC) reinforced with PPE fibers for pavement overlays. ECC offers superior crack resistance, flexibility, and durability, ideal for prolonging pavement life. Through material testing and performance evaluation, this project highlights ECC's mechanical strength, cost-effectiveness, and environmental benefits compared to conventional materials. The findings aim to establish ECC as a sustainable solution for resilient, long-lasting road infrastructure, reducing maintenance needs and supporting eco-friendly construction practices. | NUST |
| 324 | 7053 | Wheatamin Nutritional Powder | GoodHealthAndWellBeing | INTRODUCTION: In Eastern medicine, nutritional powders are viewed as a way to maintain harmony and balance in the body. Their purpose is to refuel the body, boost vitality, and correct imbalances. Their natural use is for aiding digestion, supporting the immune system, promoting nutrition, or addressing specific health issues. In a scientific sense, nutritional powders are crucial as they provide a concentrated and convenient source of essential nutrients. The prevalence of osteoporosis continues to increase through the oldest old period due to menopause and loss of ovarian function. The development and maintenance of bone mass is the main role of nutrition in reducing the risk of osteoporosis through its impact on all of these fragility factors. METHODOLOGY: Roasted the almonds and lotus seeds. A fine powder of each ingredients was made separately with the help of mortar pestle. Then each ingredients separately sieved through a 40 mesh sieve. All the ingredients were mixed properly until a fine powder was obtained. RESULT & DISCUSSION: The nutritional powder undergo various tests to confirm their quality in terms of health. However, the nutritional powder nature and texture were rough and dry due to the presence of the Euryale ferox and Triticum aestivum. The Nature, consistency, and texture was nice and easily soluble in solvent. CONCLUSION: The primary goal of study “Preparation of nutritional powder by using the Eurayle ferox and Triticum aestivum and analysis of its nutritional status” is to fulfill the Satisfy customer needs and deliver the most Goods. This will significantly aid people in becoming healthy. Instantaneously as opposed to depending on other chemically products which are injurious to health. KEYWORDS: Nutritional powder, Triticum aestivum, Prunus dulcis , Eurayle ferox, osteoporosis, menopause. | Jinnah University For Women, Karachi |
| 325 | 7054 | Composite Bumper | ClimateAction | This project focuses on replacing traditional plastic car bumpers with eco-friendly composite materials made from basalt and flax fibers. By using vacuum forming and a specific stacking sequence, the composite offers improved durability, impact resistance, and sustainability. This solution reduces plastic waste, supports eco-friendly manufacturing, and contributes to a greener automotive industry. | NUST |
| 326 | 7055 | TeleBotix Hand | GoodHealthAndWellBeing | This project develops a teleoperated robotic hand controlled by EMG sensors to enable precise, real-time movement through muscle signals. Using an Arduino microcontroller, the system translates muscle activity into hand motions, offering an affordable and adaptable solution for amputees, disabled individuals, and industrial applications, with potential for easy user adoption and accessibility. | NUST |
| 327 | 7056 | DISINFECTION ROBOT | GoodHealthAndWellBeing | ALTRIX is an autonomous mobile robot designed to efficiently disinfect indoor environments, particularly in healthcare facilities, schools, and commercial spaces. This innovative solution addresses the growing need for effective and safe disinfection practices, especially in the wake of global health crises. | NUST |
| 328 | 7057 | Fetus Health Management | GoodHealthAndWellBeing | The Fetal Health Monitoring System is an IoT-based device designed to improve prenatal care by providing continuous, real-time monitoring of fetal health. It integrates an Arduino microcontroller with sensors to track key parameters such as fetal heart rate, movement, and stress levels. Data is wirelessly transmitted to cloud platforms or mobile applications, enabling remote access for healthcare providers and expectant mothers. This system features real-time alerts for abnormal readings, a user-friendly mobile interface, and a wearable, non-intrusive design. A Doppler ultrasound sensor measures heart rate, accelerometers detect movement, and heart rate variability is used to assess fetal stress. Maternal temperature and environmental conditions are also monitored to ensure safety. Data is processed by the Arduino, which calculates averages, identifies anomalies, and triggers notifications. Wi-Fi modules enable integration with platforms like Thingspeak and Blynk for data visualization and interactive dashboards. Alerts for irregular heart rates, reduced movement, or stress indicators facilitate timely medical intervention. The system is portable, cost-effective, and accessible, particularly beneficial for use in rural or underserved areas lacking access to consistent medical care. Its alignment with the United Nations Sustainable Development Goal 3 (Good Health and Well-being) underscores its global relevance. Challenges such as sensor accuracy, battery efficiency, and device comfort are mitigated through careful calibration, power-saving modes, and ergonomic designs. Future enhancements include advanced sensors for ECG and oxygen monitoring, machine learning for trend analysis, and improved battery life for extended usage. The Fetal Health Monitoring System represents an innovative solution for prenatal care, leveraging IoT to empower healthcare providers and mothers with actionable insights to ensure fetal well-being. Its focus on real-time data, cost-effectiveness, and user-centric design makes it a transformative tool in maternal healthcare. | Quaid-i-Azam University,Islamabad |
| 329 | 7058 | ClimaBag | LifeOnLand | Our project addresses the lack of portable cooling solutions for outdoor use in hot climates. We are designing a lightweight, energy-efficient sleeping bag with a built-in HVAC system capable of both cooling and heating. Using vapor compression cycle technology, it ensures comfort and safety in extreme temperatures while being compact and affordable for practical everyday use. | NUST |
| 330 | 7059 | Chip Tag | IndustryInnovationAndInfrastructure | This project focuses on designing an Indigenous RFID Transponder Chip for animal tagging applications, adhering to ISO 11784/11785 standards. Operating at 132.4 kHz, the implantable chip enhances livestock tracking, reduces tampering, and ensures lifetime traceability. By replacing ear tags, it minimizes health risks, improves data collection, and supports sustainable livestock management, addressing SDG 2 (Zero Hunger) and SDG 12 (Responsible Consumption). | NUST |
| 331 | 7060 | Gull Eye | PeaceJusticeAndStrongInstitutions | This project involves the design and fabrication of an indigenous flapping-wing UAV inspired by the seagull. Combining biomimicry with engineering principles, the UAV is optimized for covert reconnaissance. It aims to achieve efficient flight, low acoustic signature, and robust maneuverability. | NUST |
| 332 | 7061 | Barium extraction from its ores | IndustryInnovationAndInfrastructure | Barium is a highly valuable metal whose compounds are being used in various industrial applications. From being used in oil drilling to electronics, pigments and paints, glass industry, its compounds have huge applications. Since its extraction methods usually involve carbothermal heating of barite ore that produces green house gases and consumes a lot of heat, so there is a need to develop a chemical method to extract the barium from its ores using cheap chemicals and techniques. Our project is to design a novel method of extraction of barium that will not only be greener but also cheap. | NUST |
| 333 | 7062 | Eco Charm Creation | ClimateAction | Our eco-friendly paper products directly address the significant environmental challenges posed by traditional paper production, such as deforestation, excessive water usage, and waste generation. Traditional paper manufacturing is highly resource-intensive, contributing substantially to deforestation and the resulting loss of biodiversity. The process requires vast amounts of water and energy, and the waste generated often ends up in landfills, leading to increased pollution and greenhouse gas emissions. With rising global awareness of these environmental issues, there is a growing demand for more sustainable alternatives that can reduce the ecological footprint of paper production. Our business offers a solution by transforming organic waste materials, which would otherwise be discarded, into high-quality, eco-friendly paper products. By diverting these materials from landfills, we not only reduce environmental pollution but also lessen the demand for virgin wood pulp, thereby contributing to the preservation of forests. Our innovative production process is designed to use significantly fewer resources compared to traditional methods, leading to a substantial reduction in water and energy consumption. Furthermore, our paper is both biodegradable and recyclable, ensuring that it has a minimal impact on the environment throughout its lifecycle. This approach not only helps to reduce deforestation but also supports the principles of a circular economy by repurposing waste materials that would otherwise contribute to landfill accumulation. Our solution is aligned with global sustainability goals, promoting a transition towards more responsible consumption and production practices. By offering products that are both functional and environmentally friendly, we cater to a broad spectrum of customers, including environmentally conscious consumers, businesses, and educational institutions, all of whom are increasingly seeking sustainable options. Our products stand out in the market by providing a practical alternative that addresses the environmental problems associated with traditional paper production. Our eco-friendly paper offers a viable solution that benefits and contributes to a more sustainable future. The solution to reduce the impact of traditional paper production on the environment is to use recycled paper or tree-free alternatives like paper made from fruit peels. These alternatives help reduce the need for cutting down trees and minimize the harmful chemicals released during production. By choosing eco-friendly paper products, we can contribute to conservation efforts and reduce environmental pollution. eco-friendly and sustainable paper alternatives that reduce reliance on tree-based materials. This addresses the growing environmental concerns and aligns with the global push for sustainable practices KEYWORDS: waste management, sustainability, paper industry, biodegradability, eco-friendly | Jinnah University For Women, Karachi |
| 334 | 7063 | Euphoric Glam | ResponsibleConsumptionAnd Production | Euphoric Glam is an eco-conscious skincare brand offering natural, customizable products like face wash and lip gloss. With vegan, cruelty-free, and 90% natural ingredients, we address issues like synthetic ingredients and unsustainable packaging, catering to individual skin needs. | University of Agriculture Faisalabad |
| 335 | 7064 | Dengue Surveillance | GoodHealthAndWellBeing | Climate change and LULC shifts intensify dengue, the second most common vector-borne disease after malaria. A surveillance system using MODIS, GPM, and ML on 19 bioclimatic factors predicts dengue hotspots. IoT-enabled phone covers detect Aedes aegypti frequencies, sending real-time alerts to reduce outbreaks and improve public health | NUST |
| 336 | 7065 | Water conservation | SustainableCitiesAndCommunities | This project aims to explore innovative techniques in optimizing campus sustainability, focusing on water conservation at the National University of Sciences and Technology (NUST). In response to the rising demand for sustainable practices, this study will address the critical need for efficient water management within the university. The project will include a comprehensive watershed analysis and the rehabilitation of local lakes, which will inform the design of an effective water treatment plant. Ultimately, this initiative seeks to create a sustainable and optimized water distribution system that supports the university’s long-term water conservation goals. | NUST |
| 337 | 7066 | Smart Automatic Antenna Alignment system | IndustryInnovationAndInfrastructure | A novel IoT-based system utilizing sensors, motors, and AI algorithms to automate antenna alignment, ensuring optimal signal strength and quality. Enhancing wireless communication efficiency and reducing manual labor." | NUST |
| 338 | 7067 | Smart Interaction | IndustryInnovationAndInfrastructure | The "Smart Data Interaction with AI RAG" project explores intelligent interaction with data through an AI-driven Retrieval-Augmented Generation (RAG) approach. It aims to enhance data accessibility and user engagement via a seamless Angular-based login dashboard. | SSUETKarachi |
| 339 | 7068 | High Density Concrete | IndustryInnovationAndInfrastructure | This study will examines the physical, mechanical, microstructural, and attenuation properties of high-density concrete exposed to gamma rays (Caesium 137 and Cobalt 60). For this purpose, heavy-density concrete containing different percentages of magnetite and dolomite aggregates will be developed and compared with ordinary concrete mixes. Concrete specimens will be evaluated for density loss, compressive strength, tensile, shear and gamma-ray attenuation, Half Value Layer (HVL), and Ten Value Layer (TVL) along with microstructural properties determined by scanning electron microscopy. The development of high density concrete using magnetite and dolomite has diverse and critical application across several industries where radiation protection is a key concern. The project has the potential to revolutionize safety standards in nuclear energy, medical treatment facilities, waste management and even spaces exploration, contributing significantly to global efforts in safeguarding both human life and environment. | NUST |
| 340 | 7069 | Tactile Sensor | IndustryInnovationAndInfrastructure | The proposed sensors is an innovative Piezo capacitive Sensor designed to detect both static and dynamic forces, tailored for use in biomedical applications like prosthetic hands and surgical tools. By combining piezoelectric and capacitive technology, this sensor enables precise, real-time force detection, offering enhanced control, sensitivity, and usability for medical professionals and patients. | NUST |
| 341 | 7070 | ETL-Free Solar Energy | AffordableAndCleanEnergy | Our project focuses on developing an All Oxide Solar Cell to provide an affordable, sustainable energy solution for underserved communities. The design incorporates cost-efficient deposition techniques, such as electrodeposition for Cu₂O and dip coating for NiO. Encapsulation ensures durability and longevity. The device aims to combat energy poverty, lower costs, and promote renewable energy accessibility worldwide. | NUST |
| 342 | 7071 | MoCap | IndustryInnovationAndInfrastructure | Our objective is to create an affordable wearable motion capture system powered by Inertial Measurement Unit (IMU) sensors. This cutting-edge suit is designed to meet the diverse needs of developers, gamers, animators, and even professionals in the health and sports industries. By providing easy motion tracking, it offers invaluable assistance in any scenario where motion capture is essential. | NUST |
| 343 | 7072 | AlgaPlast | ClimateAction | AlgaPlast is the women led startup that manufactures eco-friendly, biodegradable plastic, an alternative to petroleum based plastic. UN states 350 million metric tons of plastic waste is produced each year & 3.3 million tons is the plastic waste of Pakistan. Globally, just 9% plastic waste is managed. To protect our climate, it's a time for clean & green revolution. | Rawalpindi medical university |
| 344 | 7073 | Mobile Funduscopy | GoodHealthAndWellBeing | Our project uses AI-assisted mobile fundoscopy to detect retinal disorders like diabetic retinopathy and glaucoma. With a smartphone lens and a trained deep learning model, it provides affordable, accessible, and near real-time retinal screening, bridging the gap in early diagnosis in low-resource areas. | NUST |
| 345 | 7074 | Recycled Resilience | IndustryInnovationAndInfrastructure | Earthquakes are natural disasters that occur when two plates of the Earth's crust suddenly shift and release energy. This sudden release creates seismic waves that make buildings sway and vibrate, putting stress on their structures. The design and construction of a building are crucial in determining its ability to withstand seismic activity. Buildings with poor foundations, weak materials, or improper structural systems are more susceptible to earthquake damage. When exposed to the sudden lateral forces produced by seismic waves, even modern buildings and bridges can fail completely and collapse, crushing the people in, on, and around them. The problem has worsened as more people live in urban environments and as structures have grown. Over the past eight years, more than 11,500 houses have been destroyed in Pakistan, resulting in approximately 1,200 deaths and 1,600 injuries. These statistics are even more alarming on a global scale. Over the last few decades, architects and engineers have developed clever technologies to ensure that houses and skyscrapers bend but don't break during earthquakes. This approach allows building inhabitants to walk out unharmed and start recovery efforts. However, these specialized materials and designs increase construction costs. Globally, an estimated one billion tires are discarded yearly, and this waste flow is growing dynamically. Despite commitments to recycling and environmental responsibility, the problem of tire waste is escalating. This project aims to address both problems with an affordable and sustainable solution by using fully recycled waste tire blocks around the base of buildings and ceramic balls underneath. This design provides space for buildings to resist ground shaking during earthquakes. The rubber blocks damp oscillations, while the ceramic balls allow multi-directional movement of the entire foundation. Using software such as Solidworks for 3D CAD modeling and Ansys for structural and vibrational analysis simulations allows real-life prediction of the design's resilience. This innovative approach promises to enhance building safety and sustainability by leveraging recycled materials to mitigate the impacts of earthquakes. | NUST |
| 346 | 7075 | TALIM AI | QualityEducation | TALIM is an AI-based educational assistant designed to enhance learning and teaching experiences. It processes lecture materials to create a knowledge base, enabling students to clarify concepts and access personalized support. For instructors, it automates quiz generation, grading, and tailored assessments. TALIM promotes efficient workflows, active learning, and seamless student-teacher interactions. | NUST |
| 347 | 7076 | FiedShield | IndustryInnovationAndInfrastructure | This project integrates image processing into data loss prevention (DLP) systems, enhancing them to detect sensitive content in images. It employs federated learning to improve accuracy by leveraging models trained across organizations without sharing private data, ensuring security and compliance. | NUST |
| 348 | 7077 | Albedo-Optimized Thermal Shield Mortar for Heat-Resilient Structures | Other (Enhancing energy efficiency in buildings) | The construction industry faces rising challenges in meeting the demand for sustainable, energy-efficient materials. High thermal conductivity in mortar increases heat transfer in structures, leading to higher cooling loads, energy costs, and CO₂ emissions. This study develops "Thermal Shield Mortar," a composite with thermal insulating materials to act as a barrier, reducing thermal conductivity and enhancing energy efficiency. Experimental results confirm improved thermal performance without compromising strength, supporting climate-resilient and cost-effective construction aligned with global sustainability goals. | NUST |
| 349 | 7078 | Scholastic Sanctuary/Sandbox | IndustryInnovationAndInfrastructure | The Scholastic Sanctuary is an innovative 3D digital platform designed to foster interactive learning and social engagement among users. The primary goal is to create a vibrant environment where users can explore, communicate, and showcase their creative ideas through user-generated content. The application targets a diverse audience, enabling users to create accounts, engage in real-time communication, and participate in collaborative experiences. Key features include user authentication, lobby creation for group interactions, and the ability to place virtual stalls where users can display their work. The platform also incorporates NPCs (Non-Player Characters) that provide information about upcoming events and workshops, enhancing the educational aspect of the experience. The Scholastic Sanctuary represents a novel approach to interactive learning by providing an engaging platform that encourages creativity and collaboration. By blending fun with educational opportunities, it aims to inspire users to discover new ideas and passions while building a sustainable ecosystem that promotes ongoing engagement. The project’s success hinges on its ability to deliver an immersive experience that meets the needs of its diverse user base while maintaining high standards of security and performance. | NUST |
| 350 | 7079 | Drone SoC | AffordableAndCleanEnergy | This project uses advanced machine learning to estimate the State-of-Charge (SoC) of drone batteries accurately. It ensures efficient power management, extended flight time, and reliable performance, addressing challenges in drone energy consumption and flight planning. | NUST |
| 351 | 7080 | SolClean | AffordableAndCleanEnergy | Solar panels suffer 30-50% efficiency losses due to dust accumulation, which traditional manual or mechanical cleaning methods fail to address effectively and sustainably. This project introduces an AI-driven automated cleaning system that enhances solar panel performance while conserving resources. Using image processing to monitor dust accumulation and machine learning algorithm to determine the optimal cleaning method either dry or water- based cleaning, to ensure efficient maintenance. The need based water-cleaning activation minimizes water usage, and solar power drives the entire system, aligning with environmental sustainability goals. Initial testing has demonstrated over 85% accuracy in detecting soiling levels, enabling precise cleaning decisions. The system efficiently reduces water consumption, while ensuring effective dust removal. By addressing limitations in traditional approaches, this solution promises a significant improvement in solar panel maintenance. The project's progress includes identifying necessary datasets, software tools, and equipment, paving the way for an eco-friendly and effective solution for maintaining solar panel efficiency. | NUST |
| 352 | 7081 | Foam Deform | ResponsibleConsumptionAnd Production | Polyurethane (PU) foams are essential in modern life, widely used in products such as mattresses, cushions, shoe soles, mats, and insulating materials. However, their non-biodegradability has led to increasing volumes of waste, contributing significantly to landfill challenges and environmental degradation. This project aims to tackle these issues by chemically recycling waste PU foams through a glycolysis process to recover high-value raw materials, specifically polyethers and toluene diisocyanate (TDI). These recovered materials can be reused in the production of new PU foams, reducing the need for virgin petrochemical resources and addressing waste management concerns. Glycolysis involves the depolymerization of PU foam, breaking it down into its original components under controlled reaction conditions. This project focuses on optimizing these parameters to achieve high yields of industrial-grade polyethers and TDI. Chemical characterization techniques such as Fourier-transform infrared spectroscopy (FTIR) and gel permeation chromatography (GPC) are utilized to ensure the recovered materials meet stringent industrial standards. Additionally, the recovered components are used to manufacture various types of PU foams, testing their quality and performance to confirm their feasibility for reuse. The ultimate goal of this initiative is to scale the process to a pilot facility capable of processing PU foam waste on an industrial scale. This sustainable approach not only mitigates the environmental impact of PU waste but also reduces the carbon footprint associated with the production of virgin polyethers and TDI, which are conventionally derived from energy-intensive petrochemical processes. By integrating recycled materials into the production cycle, this project supports a circular economy, addressing both waste reduction and resource conservation. The innovation offers a sustainable solution for managing PU waste while minimizing greenhouse gas emissions, aligning with global efforts to combat climate change and promote sustainable development. | NUST |
| 353 | 7082 | OvaEase Tea | GoodHealthAndWellBeing | OvaEase Tea is a specially formulated herbal tea designed to address the unique challenges of Polycystic Ovary Syndrome (PCOS). Made from natural ingredients like spearmint, cinnamon, and fenugreek, the tea supports hormonal balance, reduces inflammation, and enhances overall well-being. With PCOS affecting 1 in 10 women globally, affordable and effective solutions are critically needed, especially in underserved communities. OvaEase Tea is not only cost-effective but also easy to prepare, making it accessible to women of diverse socioeconomic backgrounds. Packaged in eco-friendly sachets, it can be seamlessly incorporated into daily routines, promoting sustainable health solutions. The product aims to empower women by providing a natural alternative to expensive medical treatments, complemented by awareness campaigns and endorsements from health professionals to maximize reach and impact. | Minhaj university |
| 354 | 7083 | Nuttyshine Toothpaste | GoodHealthAndWellBeing | INTRODUCTION: Poor oral health may have a profound effect on general health. WHO recently released a global review on oral health, emphasizing that while populations in several countries have made significant progress toward better oral health, there are still issues on a global scale. Juglans regia leaves extract is potent antibacterial against oral pathogens and rich in phytoconstituents including phenols, flavonoids, and flavonols. MATERIALS & METHODS: The polyherbal toothpaste was formulated using Juglans regia leaves and other herbs extract. Other ingredients including calcium carbonate, sorbitol, glycerin and menthol were triturated well in mortar & pestle until a smooth, homogenous consistency of toothpaste was obtained. A randomized clinical trial was conducted involving 15 individuals across various age cohorts. RESULT & DISCUSSION: Results showed that Juglans regia leaves possess anti oxidant property significantly contributing to tooth whitening and prevention of halitosis. After the application of polyherbal toothpaste, all 15 volunteers got immediate breath freshening and tooth whitening effect. CONCLUSION: This research study demonstrated how well our polyherbal toothpaste worked to address common oral health problems by brightening teeth and improving breath. This toothpaste, which was designed to prevent the harmful effects of everyday oral exposure to bacteria, plaque, and stains, produced remarkable results in a matter of minutes, twice daily. It is the perfect solution for obtaining optimum dental health, confidence, and a radiant smile because of its natural ingredients and simple use. | Jinnah University for Women |
| 355 | 7084 | Bio-liquid Fertiliser | DecentWorkAndEconomicGrowth | To Address the increasing demand of Fertilizer Industry bio fertilizer such as sea weed and onion peel are being explored to improve soil fertility and encourage plant growth seaweed extract ,widely used for horticulturists, gardeners, farmers and orchardists.Similarly onion peel can be used to make organic fertilizer that is high in potassium, enabling plants to grow faster larger and yield more food. | Jinnah university for Women Karachi |
| 356 | 7085 | IOT Security | IndustryInnovationAndInfrastructure | This paper presents an IoT predictive security framework that leverages hidden Markov Models (HMMS) and Hybrid Intrusion Detection Systems (IDS), combining rule-based and anomaly detection techniques, to protect the IoT Fog Computing environment and mitigate the cyber threats imposed on IoT devices, this framework also ensures real-time threat detection and response using machine learning. This framework categorizes IoT devices as genuine, compromised, or counterfeit and utilizes advanced machine-learning methods to detect anomalies effectively. This project contributes to advancing IoT security by bridging existing gaps in predictive modeling, scalability, and real-time adaptability, ensuring a resilient and secure IoT-fog ecosystem. | NUST |
| 357 | 7086 | SELF-SENSING CONCRETE | IndustryInnovationAndInfrastructure | DEVELOPMENT OF SELF SENSING CONCRETE INTEGRATING SHORT CARBON FIBERS FOR STRUCTURAL HEALTH MONITORING USING MACHINE LEARNING | NUST |
| 358 | 7087 | EcoWrites | ResponsibleConsumptionAnd Production | This innovative pencil combines functionality and sustainability by incorporating a plant able seed capsule at the end, replacing the traditional eraser. Made from eco-friendly materials like recycled paper, the pencil allows users to write as usual, and once it's too short to use, the seed capsule can be planted in soil. As the capsule biodegrades, it nurtures the growth of herbs, flowers, or vegetables. This design not only reduces waste but also encourages environmental consciousness and promotes a circular approach to everyday products, offering a sustainable alternative to conventional pencils. | Jinnah University For Women, Karachi |
| 359 | 7088 | GradeSync | QualityEducation | GradeSync is an AI-based platform designed to make online assessments easier and more effective. Teachers can upload course content, create assessments, and let the system automatically grade them using AI. What makes it unique is the personalised feedback it gives to students, helping them identify weak areas while also giving teachers class-wide insights to improve teaching. | NUST |
| 360 | 7089 | Map Chatterbot | IndustryInnovationAndInfrastructure | AI-Powered Automation of Cartographic Map Creation. This project will train a machine learning model for various map types, key cartographic essentials, and GIS data. The combination of AI and NLP will enable map creation with user and template inputs. | NUST |
| 361 | 7090 | Linguistical Decoding | PeaceJusticeAndStrongInstitutions | Linguistic decoding through EEG (electroencephalography) analysis, enhanced by artificial intelligence (AI), presents an innovative method for understanding language comprehension at the neural level. EEG captures brain activity in response to linguistic stimuli, offering a real-time window into the cognitive processes involved in language understanding. By integrating AI algorithms, this technology allows for advanced analysis of EEG data, enabling the detection of subtle patterns associated with language processing. The combination of EEG and AI offers a powerful tool for enhancing our understanding of how the brain decodes, processes, and produces language. In the context of anti-linguistic deception, this approach has the potential to revolutionize how we detect deception in communication. Linguistic deception often involves subtle manipulations of language that are difficult to identify through traditional methods, but neural patterns associated with deceptive speech or behavior can be detected using EEG analysis. AI models trained to recognize these patterns can offer real-time insights into whether an individual is being truthful or deceptive, providing a more accurate and objective measure than traditional lie detection methods such as polygraph tests. AI plays a critical role in analyzing the vast amount of data generated by EEG signals, helping to distinguish between genuine linguistic comprehension and manipulative or deceptive language. The neural signatures of deception—such as cognitive load, stress responses, and subtle emotional cues—can be identified and decoded by advanced AI algorithms, offering an unprecedented level of precision in linguistic analysis. This allows for more effective countermeasures against linguistic manipulation, both in security settings (such as interrogation or counterintelligence) and everyday communication, where detecting subtle deception can be of great value. The integration of AI and EEG in linguistic decoding also has broader implications for understanding the cognitive mechanisms behind language acquisition, processing, and comprehension. It can contribute to advancements in fields like psycholinguistics, neurolinguistics, and cognitive neuroscience, offering insights into how the brain’s neural networks support complex language functions. Moreover, this approach can be applied in clinical settings to assess language disorders, monitor cognitive development, and assist in rehabilitation for individuals with speech or language impairments. In conclusion, the fusion of EEG analysis, AI, and linguistic decoding represents a powerful frontier in both language comprehension and deception detection. As these technologies continue to evolve, their applications will likely extend across various domains, transforming how we understand language, cognition, and communication in general. | NUST |
| 362 | 7091 | chat with data | IndustryInnovationAndInfrastructure | Data extraction from databases often proves to be a exhausting and time-consuming task, using valuable resources within organizations. These challenges are particularly felt by data and business analysts, whose core responsibilities may be sidelined by the demands of database interaction by non tech department. ChatWithData focuses to streamline the user-database interactions. Using advanced and latest techniques, including but not limited to Large Language Model (LLM) and Langchain, alongside prompt engineering, our solution allows users to effortlessly chat with their databases using natural language without the knowledge of SQL. ChatWithData translates these queries into structured commands (sql queries), executing them seamlessly in the backend. The resulting output is presented in natural language on the frontend. Thus, bridging the gap between users and databases with efficiency and ease. | NUST |
| 363 | 7092 | Wake-Up Call | SustainableCitiesAndCommunities | Drowsiness detection systems have emerged as a crucial advancement in enhancing road safety and reducing the risk of accidents caused by fatigued drivers. These systems are specifically designed to monitor driver behavior, physiological signs, and eye movements to identify early indications of drowsiness. By leveraging advanced technologies such as facial recognition, machine learning, and real-time data analysis, these systems provide timely alerts to drivers, helping them maintain focus and avoid critical situations on the road. Driver fatigue has been identified as a significant factor in road accidents, particularly during long-distance travel and nighttime driving. Thus, integrating drowsiness detection systems into vehicles has the potential to save lives and reduce economic losses associated with traffic collisions. | NUST |
| 364 | 7093 | MAGLEV TRAIN | IndustryInnovationAndInfrastructure | Maglev train prototype designed to address Pakistan’s transportation challenges by providing a fast, eco-friendly, and efficient solution. Using electrodynamic suspension (EDS) and electromagnets, eliminating the need for expensive superconducting magnets, making it more cost-effective and easier to implement. Promising technology for reduced travel times, lower carbon emissions, and relief from traffic congestion, offering a sustainable alternative for the future of public transport in Pakistan. | NUST |
| 365 | 7094 | Current Meter | IndustryInnovationAndInfrastructure | This project aims to develop a low-cost current meter for measuring water velocity in natural and man-made channels. The device utilizes an Arduino-based system to measure the current generated by a submerged rotating fan, which spins in response to water flow. The generated current is recorded and processed by the Arduino board and converted into water velocity through a calibration curve derived from experimental testing. This approach ensures accurate velocity measurements at a fraction of the cost of commercially available current meters. The project offers an accessible solution for hydrological studies, river discharge calculations, and water resource management, particularly in resource-constrained setting. | NUST |
| 366 | 7095 | MedicFlow | Other (Med AI Startup) | Our med-tech startup is revolutionizing healthcare with an AI-powered app that scans X-rays to detect abnormalities, highlights issues, and recommends medical consultation. It features a chatbot for health guidance, medication suggestions, and seamless warehouse-to-home medicine delivery. Complementing this are innovative hardware solutions like speech-to-text devices for the deaf and computer vision tools for the blind. | NUST |
| 367 | 7096 | Pneumonogram | GoodHealthAndWellBeing | This project is a web-based system that uses machine learning to detect pneumonia from chest X-ray images. Users upload an X-ray, and the system analyzes it with a trained model to deliver accurate predictions. Features include report viewing, printing, and optional storage for prediction history. | NUST |
| 368 | 7097 | liquid trees | ClimateAction | High emission levels in cities are destructive to human health and the climate. Liquid Trees are similar to Belgrade’s LIQUID3 and are photobioreactors containing microalgae that can clean the air by taking in CO2 and emitting oxygen. Small and sunny, they suit airborne high-emissions areas and dense, restricted zones such as terminals. Each 600L unit represent the amount of oxygen two trees produce. Ecological and versatile, they conform with international climate objectives, improving urban quality of life. | NUST |
| 369 | 7098 | Water Desalination | CleanWaterAndSanitation | This project addresses the question of effectively desalinating seawater using thermodiffusion by harnessing solar energy. The project aims at utilizing no membrane or filtration medium, thus solving the problem of chocked membranes and filters which are commonly used in desalination plants, while offering innovative approach of direct and indirect evaporative cooling to produce drinkable water. The demonstration unit exhibits the utilization of renewable energy for much optimized and environmentally friendly desalination system. | NUST |
| 370 | 7099 | Combustimize | IndustryInnovationAndInfrastructure | This project focuses on designing a low-cost, portable flue gas analyzer with a machine learning model to optimize combustion efficiency and ensure regulatory compliance. It provides real-time emissions monitoring, enhances equipment health via predictive diagnostics, and aids industries in reducing their environmental footprint. | NUST |
| 371 | 7100 | Edible spoon | SustainableCitiesAndCommunities | Edible spoons made from sorghum and rice flour offer a sustainable solution to plastic waste, decomposing in just 3-4 days compared to plastic's years-long degradation. Available in various flavors, they are ideal for desserts and health-conscious consumers. They reduce environmental pollution and support a greener future. Through rigorous physicochemical analysis, including testing for moisture, ash, fiber, and gluten content, and professional sensory evaluations, these spoons combine functionality, taste, and sustainability, making them a superior alternative to plastic, wooden, or paper cutlery. | University of Central Punjab |
| 372 | 7101 | Agribot | IndustryInnovationAndInfrastructure | This project proposes a fruit-harvesting robot that combines a 6-DOF robotic arm with advanced object detection algorithms and a depth camera for accurate fruit detection and plucking. A versatile gripper is designed to handle diverse fruits delicately. The system addresses labor shortages and advances agricultural automation. | NUST |
| 373 | 7102 | Offshore Wind Energy | AffordableAndCleanEnergy | Offshore wind energy has emerged as one of the most promising sources of renewable energy, with the potential to meet large-scale energy demands while reducing reliance on fossil fuels. Given the global push towards decarbonization, countries around the world are increasingly turning to offshore wind farms to generate clean, sustainable energy. Pakistan, with its strategic extensive coastline and an Exclusive Economic Zone (EEZ), holds vast potential to harness offshore wind energy to meet its energy needs, reduce its cabon footprint, and contribute to the United Nations Sustainable Development Goals (SDGs). | NUST |
| 374 | 7103 | Lane Detection | GoodHealthAndWellBeing | **Abstract:** The development of autonomous driving systems has gained significant attention in recent years, with an increasing emphasis on enhancing road safety, reducing human error, and improving transportation efficiency. This project aims to design and implement an automatic driving system with lane detection, utilizing computer vision and machine learning techniques to enable a vehicle to autonomously navigate within the road lanes. The core of the project involves two main components: **lane detection** and **vehicle control**. The lane detection module uses a camera or other vision sensors mounted on the vehicle to capture real-time images of the road. These images are then processed using advanced image processing techniques, including edge detection, thresholding, and Hough Transform, to identify the lane boundaries. The system utilizes OpenCV, a powerful computer vision library, to extract relevant features from the image and determine the position and orientation of the vehicle relative to the lane lines. The second component, vehicle control, involves designing algorithms that guide the vehicle to maintain its position within the detected lanes. Using the lane information from the detection system, the vehicle's steering, acceleration, and braking systems are adjusted accordingly. The control system ensures that the vehicle stays within the center of the lane and makes smooth adjustments for slight curves, preventing lane departures and enhancing safety. For the automatic driving system, a combination of artificial intelligence (AI) and machine learning models, such as Convolutional Neural Networks (CNNs), may be applied for more accurate and robust lane detection under various driving conditions, including challenging weather or road markings. Additionally, the system can be integrated with real-time sensor data from LIDAR, ultrasonic sensors, or GPS to improve the overall accuracy and performance. The project also focuses on addressing common challenges faced in autonomous driving systems, such as handling road irregularities, shadows, and varying lighting conditions. The outcome of this project is a functional prototype of an autonomous vehicle capable of detecting lane markings and controlling the vehicle's movement within those lanes. This system has significant potential for use in self-driving cars, smart cities, and advanced driver assistance systems (ADAS), contributing to safer, more efficient transportation solutions. Future work can expand this system to include obstacle detection and collision avoidance for fully autonomous driving. | NUST |
| 375 | 7104 | Low cost sustainable high performance concrete filled steel tubes | IndustryInnovationAndInfrastructure | This project aims to develop sustainable and cost-effective Concrete-Filled Steel Tubes (CFSTs) for the construction industry. By incorporating alternative materials like metakaolin and fly ash, we seek to enhance the structural performance of CFSTs in terms of strength, ductility, and crack resistance. Through experimental testing and finite element modeling, we will optimize CFST design for improved axial load-bearing capacity and buckling resistance. This research will contribute to sustainable construction practices in Pakistan and beyond. | NUST |
| 376 | 7105 | Kahan Jaun? | Other (Community Engagement) | "Kahan Jaun?" is a dynamic restaurant and travel guide tailored for Pakistani users, offering a personalized, community-driven platform that combines reviews, photos, and critiques to help users discover dining and travel destinations effortlessly. With the slogan "Guide on-the-go," the app empowers users to make informed decisions while exploring cities, dining out, or planning trips. Designed to act as a one-stop solution, it bridges the gap between user needs and accurate, locally-relevant information. | NUST |
| 377 | 7106 | SPARC | GoodHealthAndWellBeing | SPARC (Supportive Personalized Assistive Robotics for Care) is an AI-powered robotic arm designed for bedridden patients and elderly care. It leverages large language models (LLMs) for real-time voice command processing and a vision system for object recognition. Focused on medication management and caregiver tasks, SPARC is affordable, user-friendly, and aims to enhance independence and streamline caregiving. | NUST |
| 378 | 7107 | Moringa pasta | GoodHealthAndWellBeing | Moringa-enriched fettuccine represents an innovative neurobiological intervention targeting mental health rehabilitation. By leveraging Moringa oleifera's adaptogenic properties, the pasta strategically modulates neurotransmitter systems through tryptophan, stimulating melatonin, niacinamide, and dopamine secretion. Incorporating lentil flour enhances folate content, promoting neural plasticity and mood stabilization. This functional food approach offers a novel, non-pharmacological strategy for managing stress, anxiety, and neurochemical imbalances with potential therapeutic applications. | NUST |
| 379 | 7108 | BuildIT | QualityEducation | An affordable, locally manufactured robotics kit for Pakistan, introducing robotics and machine learning to kids and teens. It uses Raspberry Pi 5 for object recognition, path planning, and ML-based functions, modular sensors, and Scratch-based block coding to foster early engineering skills. Aiming to make robotics accessible to all, it bridges the gap between affordability and innovation. | NUST |
| 380 | 7109 | AmpCrete | IndustryInnovationAndInfrastructure | Our project aims to develop precast concrete products integrated with energy storage capabilities. These products will harness and store energy, addressing the growing need for sustainable energy solutions in construction. By incorporating energy storage into concrete, we aim to enhance energy efficiency in buildings and infrastructure. | NUST |
| 381 | 7110 | ECOSORB | GoodHealthAndWellBeing | With over 4 million fatalities annually linked to exposure to outdoor ambient particulate matter, urban air pollution is a serious global health concern. Because of their reliance on outdated energy sources like coal-fired power plants, cities in developing nations are often disproportionately affected by dangerously high levels of air pollution. For instance, with pollution levels up to five times WHO recommendations, As the population grows, automobile emissions increase. Although planting more trees could increase urban greening and reduce pollution, many cities do not have enough area. This study looks at a novel approach known as "ecosorb" which is a device that use photosynthesis to produce oxygen and collect CO2. It is claimed that a single ecosorb bioreactor may purify as much air as 200 square meters of lawn. It can also reduce nitrogen, phosphorus, contaminants, and organic matter from wáter. nitrogen, phosphorus, contaminants, and organic matter. Additionally, the device offers device charging and lighting. Cities might significantly enhance air quality by quickly putting these solar-powered bioreactors in very polluted urban areas with little room for trees. Furthermore, it is also used to purify environment, as it absorbs contaminants from environment. A single ecosorb unit may absorb as much CO2 as two mature trees, according to lab test results. Upto 1215ppm CO2 gas was absorbed by 5L ecosorb device within a month . This not only reduces the amount of CO2 in the air, but also makes environment greener and eco friendly. | Jinnah University for Women |
| 382 | 7111 | GrainBot | IndustryInnovationAndInfrastructure | Grain Weevil robots offer an innovative solution to reduce post-harvest losses in grain storage. These autonomous robots minimize spoilage, infestation, and compaction while enhancing safety by eliminating the need for human entry into hazardous silos. They protect grain stocks efficiently, addressing critical challenges in storage and preservation. | NUST |
| 383 | 7112 | Hydro Hive | LifeBelowWater | The project, "Design and Development of AI-Enhanced USV Swarm," focuses on the creation of a robust, scalable, and intelligent unmanned surface vehicle (USV) swarm system designed for efficient water body monitoring. Leveraging a leader-follower swarm strategy, this system integrates advanced artificial intelligence (AI) algorithms for real-time navigation, data analysis, and adaptive role management within the swarm. The leader USV directs the overall operations, while follower USVs collaborate seamlessly to cover extensive areas, ensuring accurate and synchronized data collection. The primary application of this project is in environmental monitoring, specifically assessing water quality parameters such as pH levels, turbidity, temperature, and pollutant concentrations in lakes, rivers, and coastal regions. Additional applications include disaster response, biodiversity monitoring, and aquatic resource management. The system’s design emphasizes energy efficiency, using dynamic leader selection and optimized path planning. To address challenges like communication latency, swarm stability, and obstacle avoidance, robust protocols and multi-agent reinforcement learning techniques are incorporated. Simulation and real-world testing will validate the performance of the USV swarm under diverse environmental conditions. This innovation contributes significantly to environmental conservation, cost-effective water resource management, and scalable autonomous systems, making it a valuable tool for sustainable development. | NUST |
| 384 | 7113 | AI-Powered Retail Optimization & Fleet Management | DecentWorkAndEconomicGrowth | This project explores the integration of historical vehicle data and demographic analysis to enhance fleet management and retail site selection. By employing machine learning algorithms, we predict driver behavior and maintenance needs, allowing businesses to optimize their fleet operations. Additionally, we analyze existing socioeconomic data to identify suitable retail locations and sales hotspots. This dual approach empowers companies to make data-driven decisions, improving efficiency and targeting strategies without relying on real-time data. The proposed solution aims to bridge gaps in current methodologies, offering a cost-effective and practical tool for businesses in the retail and logistics sectors. | NUST |
| 385 | 7114 | ZarAI | ZeroHunger | ZarAI is a platform for one-stop digital agricultural services that has been developed to provide a consolidated set of necessary services. Our solution covers aspects such as soil health and moisture analysis, crop & fruit yield and disease assessment, weed detection and control, computation of several vegetation indices, integration of IoT and low altitude remote sensing for crop health analysis, etc. | NUST |
| 386 | 7115 | Braille Generator | ReducingInequality | The Dynamic Braille Generator System addresses the high cost of commercial refreshable braille displays by using an innovative electromechanical design. Leveraging 3D printing, off-the-shelf components, and electromagnetic actuators, this solution provides an affordable, efficient, and accessible option for the visually impaired community, aiming to set a new industry standard. | NUST |
| 387 | 7116 | Plastic Recycling | SustainableCitiesAndCommunities | Our project addresses the global and local plastic waste crisis by creating a compact and efficient recycling system. Our solution is a custom-designed rig that converts everyday plastic waste into high-quality 3D printing filaments and molds. This system supports low-scale industries, educational institutions, and small businesses in fostering a sustainable circular economy and a sustainable environment. | NUST |
| 388 | 7117 | SceneScribe | GoodHealthAndWellBeing | Current solutions for the visually impaired are task-specific, focusing on object detection, OCR, or traffic signals, limiting their general utility. This proposal introduces an AI-enabled wearable device—smart glasses using Vision Language Models (VLMs)—for comprehensive environmental awareness. The system aids in various scenarios, including navigation, shopping, and education, providing real-time, contextual information via audio, offering a unified solution for diverse challenges faced by the visually impaired. | NUST |
| 389 | 7118 | Skincholytics | GoodHealthAndWellBeing | Biomarkers in biofluids like sweat and blood provides vital information which is crucial for monitoring health . However, biosensing is limited by access of biofluid, can be invasive, cause some complications and in most cases is impractical for real time monitoring. Our solution is a biosensing device capable of detecting solid cholesterol on skin to allow easier access and real time monitoring. | NUST |
| 390 | 7119 | Sphericity Measurement | IndustryInnovationAndInfrastructure | Pakistan is a leading manufacturer and exporter of soccer balls and a primary supplier to FIFA. It can benefit from a locally developed sphericity measurement system. Using laser-optical sensors and machine learning, this system would ensure precise measurements aligned with FIFA Quality Program standards. | NUST |
| 391 | 7120 | Nimbus Pure | ClimateAction | The NimbusPure Air Purifier Device is a high-capacity device designed to combat urban air pollution. Using advanced filtration technology it captures particulate matter and harmful gases and also has real-time air quality and chemical composition monitoring feature. Deployable by governments and private environmental organizations in key urban locations, it ensures cleaner air for public, fostering healthier cities and sustainable living. | NUST |
| 392 | 7121 | MalariaSense | GoodHealthAndWellBeing | MalariaSense is an innovative, at-home malaria detection device combining automated microscopy and deep learning. Users simply place a blood sample on the device, which activates and captures high-resolution images. These images are analyzed by a deep learning model for accurate parasitic detection, offering a fast, reliable, and user-friendly alternative to traditional lab tests. | NUST |
| 393 | 7122 | GeMorph | PeaceJusticeAndStrongInstitutions | GeMorph transforms DNA data into realistic 3D facial models, revolutionizing forensic investigations especially in violent crime cases where eye witnesses are hard to come by, and DNA evidence is conclusive and crucial. By using cutting-edge Al, it shortens analysis timelines and reduces costs by over 60%. This innovation empowers law enforcement, enhances public safety, and solves cases globally. | NUST |
| 394 | 7123 | EcoWrites | ResponsibleConsumptionAnd Production | This innovative pencil combines functionality and sustainability by incorporating a plant able seed capsule at the end, replacing the traditional eraser. Made from eco-friendly materials like recycled paper, the pencil allows users to write as usual, and once it's too short to use, the seed capsule can be planted in soil. As the capsule biodegrades, it nurtures the growth of herbs, flowers, or vegetables. This design not only reduces waste but also encourages environmental consciousness and promotes a circular approach to everyday products, offering a sustainable alternative to conventional pencils. | Jinnah University For Women, Karachi |
| 395 | 7124 | EcoWrites | ResponsibleConsumptionAnd Production | This innovative pencil combines functionality and sustainability by incorporating a plant able seed capsule at the end, replacing the traditional eraser. Made from eco-friendly materials like recycled paper, the pencil allows users to write as usual, and once it's too short to use, the seed capsule can be planted in soil. As the capsule biodegrades, it nurtures the growth of herbs, flowers, or vegetables. This design not only reduces waste but also encourages environmental consciousness and promotes a circular approach to everyday products, offering a sustainable alternative to conventional pencils. | Jinnah University For Women, Karachi |
| 396 | 7125 | Wheel-Balancing Machine | IndustryInnovationAndInfrastructure | The commercial wheel balancing machine aims to localize high-performance wheel balancing solutions, addressing the cost and usability challenges of imported alternatives. Integrating advanced sensing, data processing, and user-friendly controls, this machine ensures precision, safety, and affordability tailored for local market needs. | NUST |
| 397 | 7126 | Green Grid | AffordableAndCleanEnergy | An interconnected microgrid network powered by renewables and Battery Energy Storage Systems (BESS) will support an electric train along CPEC in Pakistan. This sustainable energy solution ensures reliable power for transportation while supplying nearby communities, reducing poverty and improving quality of life. | NUST |
| 398 | 7127 | Resurge | AffordableAndCleanEnergy | Electrifying Heritage: A Plug-in Hybrid Solar Electric Vehicle. This innovative project seeks to blend tradition with technology by converting a classic petrol vehicle into a cutting-edge plug-in hybrid electric vehicle. By harnessing solar power and providing flexible charging options, we aim to create a sustainable and efficient mode of transportation. | NUST |
| 399 | 7128 | CloStone | ResponsibleConsumptionAnd Production | Pakistan has large textile production, also overconsumption and overproduction due to fast fashion is unsustainable practice which is a primary cause of textile waste. Large imports of used clothing from the EU to Pakistan contributes more to the waste. With no local textile waste brick manufacturer, CloStone transforms building material by upcycling textile waste into eco-friendly bricks. Here old clothes become the building blocks of the spaces we inhabit. | NUST |
| 400 | 7129 | Debris Collector USV | ClimateAction | The marine ecosystem and marine economy is being severely affected due to the increasing issue of marine pollution. This issue has been increasing at an exponential rate for the past few decades, and it is also posing severe threats to marine life, and is one of the most discussed problems around the globe. Our project aims to design an efficient and eco-friendly Unmanned Surface Vehicle (USV), which specifically would be designed to cope with this problem by collecting floating debris on coastal areas. Our design includes the resilient mechanism for collecting debris efficiently and is optimized for various debris types, identified through extensive data collection from different operational sites. Moreover, simulations will evaluate the performance of the Vehicle under different sea conditions to ensure its reliability and efficiency. Our USV design provides a sustainable and efficient solution to mitigate marine pollution to preserve marine health and contribute to maritime operations. | NUST |