This project develops predictive collision avoidance systems using ML and V2V/V2I communication. Featuring SUMO-based simulations, it enhances road safety, reduces congestion, and optimizes traffic flow for autonomous and traditional vehicles

Developed a comprehensive system integrating Dijkstra’s and A* algorithms to optimize metro navigation and constraint programming for scheduling. Proposed a model that minimizes travel time and enhances commuter satisfaction by providing the shortest paths, efficient transitions, and adaptive scheduling.