Spotify Playlist
Integrates with Spotify's API to create and manage playlists using natural language with eight similarity algorithms that analyze audio features like energy, danceability, and tempo to find matching tracks across catalogs, playlists, and libraries for building mood-based collections or workout playl
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A Spotify playlist management server built by Kyle Stratis that enables natural language playlist creation with advanced audio-based similarity matching. Features eight different similarity algorithms (Euclidean, Cosine, Weighted, Energy Match, Mood Match, Rhythm Match, Genre Match, Manhattan) that analyze Spotify's audio features like energy, danceability, valence, and tempo to find similar tracks across catalogs, playlists, artist discographies, or saved libraries. The implementation includes automated playlist creation, customizable feature weighting, and flexible search scopes, making it useful for building workout playlists based on energy levels, mood-based collections using valence matching, or discovering similar tracks within existing playlists using genre analysis.
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