Get Songs Recommended to You Based on Your Mood & Genre Leveraging Machine Learning
Alleviating stress one poop at a time
Using machine learning and geolocation to allow spontaneous discovery of local music
Embracing our similarities and differences in music taste.
Decentralized song request service through Spotify
Create a spotify playlist based in your current list of playlist
A terminal app that recommends songs and movies based on a user's likes and preferences
(Not submitted to Devpost Hackathons!) Discover Music. Share Music.
A website to give Spotify users a personal pop song recomendation.
An alarm app that makes waking up with your friends or team easier than ever before!
Musera's goal was to provide a listening experience to all music hits from the 1950s to the present day. Using a user-friendly interface and weekly Billboard Hot 100 records..
Estimating how a diverse society feels across demographics by aggregating different data sources
An unsupervised, data sensitive, personalized music recommendation algorithm where the recommendations are tailored to qualities YOU like in a song, not based on other user's data.
Audioscape will analyze an uploaded image and generate a playlist based on the mood of that image.
Get music for your mood, fast.
a playlist for how you're feeling
Remotely Experience Music Together
Music Streaming and Social Networking Website
enter your musical headspace.
Find music to elevate your mental state
A website where users can view and compare their music taste with others using their Spotify listening history.
Web app that can detect the user's mood and use it to suggest relevant playlists
Connecting Lives.Delivering Assurance.
We created a journey through the history of music spanning 6 decades.