Music played at events is often a hit or miss with poorly picked songs completely killing the vibe. Our webapp Vibeify aims to personalize the music experience by utilizing TensorFlowJS machine learning to accurately predict and play songs from a list of user curated preferences.
How we built it
This project was built using a TensorFlowJS machine learning model to predict user joint locations. These joint locations were then processed to determine level of activity of the user and generate an energy score. ReactJS was then used to leverage that data such that different moods and vibes could be displayed for the user.