http://hdl.handle.net/123456789/96 Sat, 04 Apr 2026 12:01:51 GMT 2026-04-04T12:01:51Z http://hdl.handle.net/123456789/17046 INTELLIGENT CHUCKHOLE DETECTING AND REPAIRING ROBOT Saba, Noor us Reg # 64984; Siddiqui, Muneeb Ahmed Reg # 51276; Tirmizi, Syed Affan Reg # 65010 Intelligent chuckhole detecting and repairing robot seeks to automate the process of finding and fixing potholes on roads. To recognize potholes and their placement on the road, this robot makes use of sensors and artificial intelligence. The pothole was then swiftly and effectively repaired by the robot using a combination of hot asphalt, an ultrasonic sensor, and a scrapper. Compared to conventional pothole repair techniques, robots have several advantages. It can fix more potholes in less time than manual work since it’s quicker and more effective. Removing the need of workers to cross the busy streets also lowers their risk of harm, utilizing the same materials offer a more reliable and superior repair. Municipalities can utilize this information to distribute resources more efficiently and prioritize repairs. Robot construction also minimizes the waste by using the amount of asphalt required for each repair, making it environment friendly. An innovative new technology called the intelligent chuckhole detecting and repairing robot has the potential to completely change how potholes are patched on highways. Compared to existing conventional methods that is the smartphone accelerometer sensor is used for the detection of pothole, it is quicker, more effective, and safer and it also has the added advantages of giving towns useful information for better road maintenance planning. Supervised by Dr. Rizwan Iqbal Sun, 01 Jan 2023 00:00:00 GMT http://hdl.handle.net/123456789/17046 2023-01-01T00:00:00Z http://hdl.handle.net/123456789/17047 GD-LIFTER Hamza, Muhammad Reg # 65018; Haider, Arshman Reg # 64994; Haider, Furqan Reg # 64993 This project focuses on the development of a low-budget, efficient, and user-friendly lift system operated via a mobile application using Bluetooth technology. The objective is to create a lift with a height of 6 feet and three floors, capable of lifting up to 3kg. The project involves the use of a microcontroller for control and integration, along with automatic doors on each floor. The project milestones include motor testing, frame and cabin construction, mobile application development, and system integration. The final deliverables will be a functional lift system that consumes minimal energy, operates silently, and offers a seamless user experience. The benefits ofthis project lie in its cost-effectiveness, energy efficiency, and ease of use. The wooden frame construction ensures durability and affordability, making it suitable for various applications. The integration of a microcontroller enables precise control and automation, resulting in optimal performance and energy savings. The mobile application provides a convenient interface for users to operate the lift effortlessly. Overall, this project aims to deliver a reliable and accessible lift solution that meets the requirements of small-scale residential or commercial settings, while being environmentally friendly and budget-friendly Supervised by Engr. Ahmed Faraz Sun, 01 Jan 2023 00:00:00 GMT http://hdl.handle.net/123456789/17047 2023-01-01T00:00:00Z http://hdl.handle.net/123456789/17045 ADA-MY FRIEND Abbas, Hassan Reg # 64992; Naqvi, Ali Raza Reg # 65020; Khan, Yazdan Ullah Reg # 65014 Bullying is a serious problem that can have a devastating impact on children. This project proposes the development of a chatbot, Ada, to help children who are being bullied. Ada will be able to identify bullying behavior, provide support to victims, and report bullying incidents. The project has the potential to be a valuable resource for children who are being bullied. Ada will provide a safe and confidential space for children to talk about their experiences with bullying, and she will offer them support and advice on how to deal with bullies. Supervised by Dr. Shoaib Mughal Sun, 01 Jan 2023 00:00:00 GMT http://hdl.handle.net/123456789/17045 2023-01-01T00:00:00Z http://hdl.handle.net/123456789/17076 VIRTUAL REALITY(VR) AIDED CONTROL SYSTEM FOR UNMANNED VEHICLES Hassan, Ozair Reg # 63579; Fatima, Shajea Reg # 65003; Qamar, Saulat Reg # 64987 The development of autonomous and semi-autonomous vehicles poses challenges in countries like Pakistan due to inadequate road infrastructure and noncompliance with traffic regulations. To address this, companies are exploring the concept ofsemi-autonomous vehicles controlled by remote drivers. However, the current approach lacks immersive experience, limiting situational awareness and control. In response, our project aims to develop a Virtual Reality (VR) Aided Control System for Unmanned Vehicles that prioritizes human safety and enhances control capabilities. Through extensive research and analysis, we have established comprehensive guidelines for our project, including studying problems in existing systems, evaluating hardware components, designing modules, and conducting integration and testing. By combining virtual reality technology with unmanned vehicles, our project aimsto create an immersive control system that enhances situational awareness and empowers operators. Our objective is to contribute to a safer transportation environment in Pakistan by enabling operators to navigate challenging situations effectively while preserving human life. Throughout the development process, we have adhered to design guidelines, including conducting a comprehensive study, establishing a well-defined workflow, selecting suitable hardware, refining software components, designing a user-friendly Android application, and conducting rigorous integration and testing. In summary, our project seeks to revolutionize the transportation landscape in Pakistan by leveraging virtual reality and unmanned vehicles. By focusing on human safety and control capabilities, we aim to create a robust and effective control system that empowers operators and ensures a safer transportation environment. Supervised by Dr. Rizwan Iqbal Sun, 01 Jan 2023 00:00:00 GMT http://hdl.handle.net/123456789/17076 2023-01-01T00:00:00Z