Python project analyzing vehicle movement in college campus using edge AI. Provides insights on traffic, parking, and congestion. Leverages computer vision, ML, and edge AI for real-time analysis. Potential applications in campus planning and security.

Real-time traffic analysis using AI, ML, and computer vision to detect, classify, and track vehicles from live video feeds. Enables traffic flow monitoring, congestion detection, and vehicle counting with deep learning models and real-time video processing for smarter traffic management.