Hyperpersonalized dynamic music playlist

Inspiration

Spotify/other music apps have personalized playlists, but none are Dynamic – real time updates to playlist Hyper- personalized The music doesn’t always match your current mood/setting

What it does

Allows the user to connect to Spotify User selects playlist(s) that they want to base the playlist on MCP fetches current location, weather, time of day A playlist is generated which considers genre preference, weather, and location, time of day, beats per minute Playlist adds songs after each played song, and user behavior influences song recommendation Music that is skipped is analyzed and fewer similar songs are recommended

How we built it

Used Claude (AI) to import various personal info (through the use of MPC) and paramatize various personal information (including surrounding environment and user behavior) to give the best song recommendation

Challenges we ran into

Challenges in connecting to Spotify API Linking position data to country specific top chart in Spotify Making live music playing window in localhost

Accomplishments that we're proud of

What we learned

Error dealing, MPC operation, dynamic linking betwen Front and Backend opeation

What's next for Hyperpersonalized dynamic music playlist

Built With

• api
• javascript
• mpc
• python