As urban population and car ownership in cities continue to rise, traffic congestion emerges as a major problem. Gridlock in the road inconveniences everyone. Despite appearing to be widespread, big cities seem particularly vulnerable. One of the key elements in traffic management is a traffic controller. This project aims to reduce traffic congestion, leading to less fuel consumption and minimizing air pollution. It can be achieved by making use of live data collected from CCTV cameras placed at the junction to calculate traffic density using image processing and AI. YOLO algorithm is used to detect vehicles and estimate traffic density. The smart traffic control system switches traffic lights based on the traffic density to reduce congestion thus allowing people to move faster and thus reducing air pollution.