The proliferation of both people and cars in urban areas has led to a number of serious problems, one of the most pressing being traffic congestion. Not only can traffic congestion add stress and waste time in drivers’ lives, but it also increases pollution and fuel consumption. It is a widespread issue, particularly affecting megacities. As urban population grows, the real-time assessment of road traffic density becomes vital for better signal control and efficient traffic management. The effectiveness of traffic flow largely depends on the traffic controller, highlighting the need for advancements in traffic management to cope with increasing demands. The proposed system leverages image processing and AI to analyze live images from traffic junction cameras to determine traffic density accurately. Additionally, it zeroes in on the algorithm that controls the traffic lights according to the number of vehicles, which speeds up transportation for people and cuts down on pollution.