Undetected road accidents pose a severe risk to public safety by delaying emergency response and increasing the likelihood of fatalities. This paper presents a cutting-edge solution: an AI-powered accident detection system that utilizes live CCTV footage to identify accidents in real-time. Through the use of computer vision and machine learning, the system continuously monitors traffic patterns, detecting incidents such as collisions, rollovers, and stalled vehicles. When an accident is identified, the system automatically triggers emergency alerts, providing exact location data and enabling rapid dispatch of first responders. This reduces response times and improves the chances of survival for victims. Moreover, the system minimizes traffic congestion by informing authorities immediately, allowing for quicker road clearance. The paper evaluates the shortcomings of existing detection methods, which often rely on manual reporting, and demonstrates how this innovative approach significantly enhances both road safety and emergency response efficiency.