This project aims to optimize traffic light timings dynamically, resulting in a more efficient and streamlined traffic flow that significantly reduces congestion and enhances the overall commuting experience for all road users by: 1) Developing a robust classification system to classify traffic situations into distinct levels (low, medium, high, and heavy) 2) Employing predictive modeling to accurately forecast the number of vehicles on the roads at specific times