video1.0<iframe src="https://www.loom.com/embed/40dfc2f690a94fbf9f109006642854b7" frameborder="0" width="1660" height="1245" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12451660Loomhttps://www.loom.com12451660https://cdn.loom.com/sessions/thumbnails/40dfc2f690a94fbf9f109006642854b7-66e63dce0e3c3294.gif464.229Good evening, everyone. In this video, I walk you through my Intelligent Face Tracking System developed for the Catamaran Hawkathon. I explain the project structure, including key files like main.py for video processing and VisitorManager.py for tracking visitors, and I demonstrate the live dashboard that displays visitor data such as count, gender distribution, and age. I also highlight the use of YOLOv8nano for face detection and the additional demographic features I implemented. Please review the project and let me know your thoughts!