Our app took a fresh view on a classic problem - music recommendation. We were inspired by the many companies and agencies building data analytics tools to open up new perspectives on things. Our app uses the Spotify API to browse through a user's music library, and then gets musical data on the songs through EchoNest's API. We then do PCA and k-means clustering on the songs, plotting them in a three dimensional space that makes it easy for the user to understand the connection between their music. Finally, we provide a playlist recommendation for each identified "cluster" of songs.
Clusterfy
Reimagine music browsing - browse with your eyes
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