sometimes spotify just doesnt cut it. We named it Osusu after the Japanese word for recommendation (osusume).
What it does
Recommends songs and artists to create a user personalized playlist based off of user history.
How we built it
Blood, sweat, and tears. We used the Million Song database to cross reference attributes of music that a user already "likes" to suggest them other music. We used Python and SQLite.
Challenges we ran into
We were initially going to use Java, but we ran into some issues with outdated packages, so we switched to Python (also better to work with SQLite). Also, lack of sleep.
Accomplishments that we're proud of
Learning how to use the database. Also, I was getting cold feet and was anxious about my lack of experience and was thinking about jipping. Glad I showed up!
What we learned
Learning how to use the database. That Python 2 is discontinued. How to use SQLite #swag.
What's next for Music Profiler
Being named Osusu instead of Music Profiler.
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