video1.0<iframe src="https://www.loom.com/embed/23435db8309a450c91ef0c9eeca93246" frameborder="0" width="1986" height="1489" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14891986Loomhttps://www.loom.com14891986https://cdn.loom.com/sessions/thumbnails/23435db8309a450c91ef0c9eeca93246-c918e62a91dc05b0.gif507.719Hi, I am Youngmin Kim, and this Loom covers my project BDFinder, an AI Music Recommender built on the Cloud API. I explain the architecture for turning free text into game and mood analogy and a score, using my rule engine catalog and a nearly empty evaluator. I show live demos for happy pass and unhappy pass, with competence and energy results, and I demonstrate tuning with a few shot example. I also run pytest with 9 predefined and 5 normal profiles plus 2 categorical gap profiles, finishing in under 1 second. No action was requested from viewers.