Artificial Intelligence (AI)-based Smart Traffic Light Management is an advanced system designed to improve traffic flow and reduce congestion in urban areas. Traditional traffic signals operate on fixed timing methods, which often lead to unnecessary delays and traffic jams during varying traffic conditions. The proposed system uses Artificial Intelligence techniques along with sensors, cameras, and real-time data analysis to monitor traffic density and dynamically control signal timings. The AI system analyzes vehicle movement, traffic volume, and road conditions to make intelligent decisions for optimizing traffic flow. It can prioritize emergency vehicles, reduce waiting time at intersections, minimize fuel consumption, and decrease air pollution caused by vehicle idling. Machine learning algorithms can also learn traffic patterns over time and improve decision-making accuracy. The implementation of AI-based smart traffic management helps create efficient transportation systems, enhances road safety, and supports the development of smart cities. This system provides a cost-effective and adaptive solution to address increasing traffic problems in modern urban environments.