Skip to Main Content

Muse doesn’t just fix music discovery—it fills a gap in how we understand ourselves through what we listen to. Streaming platforms organize songs by genre and vibe, but they miss the emotional context of listening: the way we use music for self-discovery, relationship building, emotional processing, conflict resolution, and getting into deep-focus flow. Muse’s emotional profiling can power: Smart playlist curation – “Find me songs for a rainy afternoon drive with my best friend” or “give me calm-but-confident pre-presentation hype music.” Music therapy & emotional processing – Curate tracks that support specific goals like grounding anxiety, processing grief, or boosting motivation. Relationship & social experiences – Generate shared emotional playlists (“our songs”) that reflect how two people feel, not just what they like on paper.

Team

audreychoyarintheia

Placement

Participant

More from Gemini 3 Hackathon SF

NNPort redefines embedded engineering by fully automating the tasks that traditionally required specialized engineers, delivering an end-to-end autonomous…

www.loom.com/…

ForenSight AI is a multimodal “AI detective” that lets you upload scene photos, videos, audio clips, and witness statements - and instantly generates a…

github.com/…

Chess Commentary AI is a real-time AI-powered chess commentator that uses Google Gemini Flash to watch your screen and provide exciting play-by-play…

Commentator project preview

Anywhere is a Next.js/React app that turns Google Street View into an AI-guided, voice-controlled tour guide. It solves the “WebGL Street View has no…

youtube.com/…

Clear Witness is an AI-powered forensic reconstruction suite designed to aid law enforcement and investigators in regions where digital surveillance (CCTV) is…

Clear Witness project preview

FlowState is the first visual linter for frontend code—a tool that bridges the gap between design and development by letting you literally point at broken…

FlowState project preview