{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/b0616294d9994c67a09ca40c090d781f\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/b0616294d9994c67a09ca40c090d781f-0e7e037916304304.gif","duration":172.006,"title":"AI Music Recommender Playlist from Prompts 🎵","description":"Hi, I am Rivang Boothu, and this is my presentation for the AI Music Recommender. I walk through how it takes a user vibe or description, searches a dataset with RAG, and generates a 24 song playlist. I explain how apps like Spotify let users enter a prompt to get recommendations based on BPM, dancability, rhythm, mood, genre, energy, tempo, valence, and similar features. I also describe how the system interprets the text into a vibe JSON and ranks songs by closeness to that representation. I begin a realistic way to test it."}