We were inspired by our love for music.

What it does

It provides the user with a playlist based on their stated emotions.

How we built it

We used python along with Kivy to make the application. We then used NLP and other machine learning models to assess and classify the user's mood as well as train the model to classify songs from our large database.

Challenges we ran into

We ran into issues with a lot of the modeling as well as making the UI(none of us had any experience using Kivy).

Accomplishments that we're proud of

We were able to train the data and learned a lot of things through our research, especially considering our lack of experience with this kind of complexity.

What we learned

We learned a lot about AI, specifically neural networks, NLP, and Kivy.

What's next for Vybe

We plan on improving the AI's capabilities and using an API for our song data.

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