video1.0<iframe src="https://www.loom.com/embed/b0616294d9994c67a09ca40c090d781f" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/b0616294d9994c67a09ca40c090d781f-0e7e037916304304.gif172.006Hi, 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.