👉 The approved project aims to develop an advanced AI-driven platform designed to optimize urban traffic management in a major metropolitan area. This initiative will leverage machine learning algorithms to analyze real-time traffic data from various sources, including sensors, cameras, and GPS devices. By predicting congestion patterns and suggesting dynamic routing solutions, the platform seeks to reduce travel times, lower emissions, and improve overall urban mobility. Additionally, the project includes community engagement components to gather feedback and ensure the system meets the needs of residents, while also integrating with existing public transportation networks to enhance efficiency and accessibility.
