{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/848702c45bd845cb835a419546d1d431\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/848702c45bd845cb835a419546d1d431-9c0e4e66e6da9b4c.gif","duration":324.518,"title":"AI Playlist Organizer Walkthrough and Testing 🎵","description":"Hi, this is my walkthrough of Playlist Chaos, an AI assisted music recognition and Playlist Organizer. I show how my recommendation system takes your input for genre, mood, and energy, then plans parameters, retrieves songs from a 32 song set, ranks them, and picks the top score, like 8.63 for a party setup. I also run a second example for chill lo fi with only two recommendations, where mood priority overrides raw genre ranking. I finish by testing multiple recommender cases and rack system scenarios for party, chill, and indie. No action is requested from viewers."}