video1.0<iframe src="https://www.loom.com/embed/7010f453ab2c4b479ec040bdbc60a63a" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/7010f453ab2c4b479ec040bdbc60a63a-cf4919a448293e2a.gif535.977For my AI 1.10 final project, I expanded a music recommender from about 17 songs to around 210 songs using my Spotify playlist. Users type a natural sentence, then an LLM parser returns structured preferences like genre, mood, energy, acousticness, and related factors, and a recommend function scores and retrieves matching tracks. I improved search by allowing multiple genres per song, and I added language as part of the genre metadata. I tested cases like 12 reggaeton and bachata songs and an even split of 5 Spanish and 5 Chinese songs, and found limitations like uneven splits and no conversational history. I did not request any action from viewers.