You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
MCalm detects people’s mood by using their facial expressions as well as by asking a few questions on a scale of 5, which would help people get a wider picture of their mood. Next comes the task to enlighten their mood by playing games , listening to jokes by bot and at last listening to soothing music.
In this project, I harnessed the Spotify API to gather rich song features, which I meticulously analyzed and leveraged to craft a content-based recommendation website. The user-friendly interface, powered by Streamlit
Moodys is a song recommendation app which detects the mood of people and suggests appropriate songs. This app can be used to brighten up one's mood on a rainy weekend, create the atmosphere for a perfect date, and play melodious music for the young and the old alike.
This is Content based music recommendation system. I have used both audio features and lyrics (text based) features for recommending most similar songs to a given query song.