AI Road Safety Prediction
An AI-powered traffic prediction system using TensorFlow to detect trash, broken traffic lights, and potholes, helping improve road safety and smart city management.
The AI Traffic Prediction System is an intelligent solution designed to improve urban mobility and road safety by detecting common issues that affect traffic flow. Using TensorFlow, the system is trained to classify and detect three major problems: trash on roads, broken traffic lights, and potholes. By analyzing real-time images or video feeds, it identifies these conditions and alerts authorities or system administrators for quick action. This not only enhances traffic management but also supports smart city initiatives by automating problem detection, reducing human error, and enabling faster response times. With its ability to monitor and analyze multiple traffic issues, the system offers a scalable approach to maintaining safer, cleaner, and more efficient roads.