I’m sharing an update on my AI-Based Traffic & Congestion Prediction System, which has steadily evolved from a simple idea into a practical, real-world solution for urban mobility. The system now uses AI and real-time traffic data to predict congestion levels (low, medium, high), identify peak-hour delays, and display results through a clean, visual dashboard. Recent improvements include city-wise predictions, better accuracy using historical patterns, and early experiments with weather-aware traffic analysis. A web-based demo is already working, with plans to add mobile support, smarter route suggestions, and smart-city integrations next. This project has been an exciting hands-on journey in AI, data analysis, and full-stack development, and I’m looking forward to refining it further based on feedback.
Log in or sign up for Devpost to join the conversation.