# Real-Time Object Detection & Tracking with YOLOv8 & Deep SORT π
Ever wondered if your computer could βseeβ and track objects in real-time? π During my CodeAlpha internship , I built a system in Python that does exactly that. It detects objects in video files and live webcam streams , assigning each object a unique ID as it moves. What I learned / challenges: Objects sometimes got βlostβ between frames β tweaking the tracking algorithm fixed it Switching between video files and webcam input required careful testing Managing Python dependencies and real-time performance was tricky Tech Stack: YOLOv8 (Ultralytics) Deep SORT OpenCV Python π‘ Fun part: Watching the bounding boxes follow objects in real-time felt magical β¨ Check out my code and demo: [GitHub Repo] Urooj25 / CodeAlpha_ObjectDetection CodeAlpha_ObjectDetection π Real-Time Object Detection & Tracking Internship Task 4 β CodeAlpha π About This Project This project implements real-time object detection and tracking using: YOLOv8 (via ultralytics) for object detection Deep SORT for tracking obj
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