Vehicle Detection and Counting System using YOLOv8

This project is a Vehicle Detection and Counting Web App. Users can upload a video of a street, and the system detects vehicles in real-time using the YOLOv8 model. The app draws bounding boxes around vehicles and counts them as they cross a predefined line. Built with Streamlit and OpenCV, this project demonstrates practical skills in computer vision, video processing, and AI-powered traffic analysis.