video1.0<iframe src="https://www.loom.com/embed/f8c5bffbb61f4140ae1241f08bdd7765" frameborder="0" width="1728" height="1296" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>12961728Loomhttps://www.loom.com12961728https://cdn.loom.com/sessions/thumbnails/f8c5bffbb61f4140ae1241f08bdd7765-31f02c7d3dae4cb8.gif178.908Hi, this Loom shows my AI-powered music recommendation system running end to end. I start with a RockinTestMove high energy profile, load the dataset, score songs, and return the top recommendations with a friendly Gemini AI explanation and scores. Then I switch to other profiles like Intensive Rock and High Energy Pub, Chill Lobby to show the recommendations updating based on preference. I also demonstrate error handling, so if Gemini fails or limits are hit, it falls back to a default explanation and the program keeps running. No specific action is requested from viewers.