video1.0<iframe src="https://www.loom.com/embed/cae339bb8fad48d4adf12ecc32837bc5" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/cae339bb8fad48d4adf12ecc32837bc5-5f09227472846b11.gif363.17Hi, I am Tushar, and this Loom is about my music recommender project. I updated my CSV catalog to about 20 known songs, added agent.py to ask the user for mood, tempo, and song type, and connected it with main.py to generate user profiles and recommendations. When I ran it, it calculated an energy percentage, showed a score breakdown like genre match, intensity, and acousticness, and returned the top 5 songs. I also updated my README with the UML style architecture diagram in mermaid.js. No specific action was requested from viewers.