Do you love Spotify statistics and your year end playlists? Do you get excited when you and a friend discover your mutual love for the same songs?
We do! That is why we set out to use Spotify statistics to allow you and a friend to uncover your shared favorites.
What it does
Tune Fusion scrapes two last.fm user’s top songs and creates a Spotify playlist based on the intersection of their top tracks.
How we built it
Flask, Python, HTML, Spotipy, Pylast, and Scikit-Learn.
Challenges we ran into
Ultimately, we were unable to fully connect the front-end and the backend; however, they both work on their own.
We initially struggled to access the user's Spotify data at once, so we decided to use last.fm as an alternative. Designing an algorithm to figure out which songs were the most mutually loved also posed some difficulty.
What's next for Tune Fusion
After finishing the site, we plan to allow users to input their spotify usernames for those without last.fm. We are also considering adding a genre based playlists to improve playlist quality.