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This project delves into the exciting field of applying artificial intelligence to address the critical challenges of urban traffic congestion. Students will engage in designing and developing an intelligent system aimed at optimizing traffic flow, enhancing road safety, and reducing commute times through data-driven insights and autonomous decision-making. Project Objectives: * To research and select suitable AI/ML algorithms for traffic prediction and pattern recognition. * To design and implement a prototype for a dynamic traffic signal control system. * To integrate and process real-time traffic data from various sources (e.g., sensors, cameras). * To evaluate the system's performance and efficiency in a simulated or controlled
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This project focuses on developing an intelligent system leveraging artificial intelligence to streamline and enhance operational efficiency within a defined working environment. It provides an excellent opportunity for students to apply foundational AI concepts to create practical solutions that automate routine tasks and provide data-driven insights. Project Objectives: * Identify and analyze specific workflows within a chosen system amenable to AI integration. * Design and implement appropriate AI models, such as machine learning algorithms or rule-based systems, to address identified challenges. * Develop a functional prototype demonstrating the AI system's ability to improve efficiency or decision-making. * Evaluate the system's performance, usability, and potential for future scalability. Upon successful completion, students will deliver a robust, documented prototype of an AI-
This project involves the design and implementation of an Artificial Intelligence system specifically engineered to accurately track and predict the movement path of an object or entity within a defined operational space. It offers a hands-on opportunity to
This project addresses the pervasive challenge of inefficient parking management, which often leads to wasted time, fuel consumption, and urban congestion. We aim to design and implement an intelligent system that optimizes parking space utilization and enhances the overall user experience for drivers. Project Objectives: * To accurately detect the real-time occupancy status of individual parking spaces. * To develop a mechanism for guiding drivers to available parking spots efficiently. * To minimize the time and effort drivers spend
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