We wanted to tackle the issue of mental health using music and technology.

What it does

Users get a song recommendation based on their predicted mood based on their daily journal entry. Using Azure sentiment analysis and custom classification models, we are able to recommend a song that fits your mood.

How I built it

We used multiple API's (Genius, Spotify), a flask backend, and custom ML models to predict users moods, find similarities between song moods/lyrics and user mood.

Challenges I ran into

Connecting the front-end to the back-end (Async javascript issues) as well as connecting multiple API's together.

Accomplishments that I'm proud of

"I like our design and I think it makes Vibecheck a polished, proper product. We used a lot of different resources that we combined meaningfully." - Sina

"I am proud of what my team has accomplished and that we were able to translate the UX into the actual web app." - Jordan

"I am proud that I was able to gain a better understanding of API's and I am happy that my team was able to put together a finished, working product in time". - Michael

"I am proud that we went from concept to product in 24 hours" - Nicole

What's next for Vibecheck


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