{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/bb4dee0974ec491c8b6d327a4d6e079e\" frameborder=\"0\" width=\"1280\" height=\"960\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":960,"width":1280,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":960,"thumbnail_width":1280,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/bb4dee0974ec491c8b6d327a4d6e079e-fdaab318cd34ed07.gif","duration":179.4847,"title":"Introducing Glossense: AI Content Detection System 🚀","description":"In this video, I’m excited to introduce Glossense, my app designed to detect whether content was generated by AI. I walk you through its architecture, which includes a Python backend that processes videos in parallel, extracting subtitles and analyzing images to create comprehensive reports on origin, virality, and distribution. I’ve incorporated reinforcement learning to improve the system over time, and while it’s meant to run locally, I encourage you to upload your own transcripts for better results. I’m looking for feedback on features and improvements, particularly in making it a true multi-agent system. Please check the readme for more details and let me know your thoughts!"}