{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/40dfc2f690a94fbf9f109006642854b7\" frameborder=\"0\" width=\"1660\" height=\"1245\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1245,"width":1660,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1245,"thumbnail_width":1660,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/40dfc2f690a94fbf9f109006642854b7-66e63dce0e3c3294.gif","duration":464.229,"title":"katomaran","description":"Good 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!"}