Mood-Based Music Recommendation System

Music is the way to connect many people with different languages, countries, and cultures. With the help of our faces, we can predict the emotion of it and search the songs according to that playlist. Detecting the emotions by using the web camera or other sources and improving the prediction of the emotion play an important role in it. By using this feature, a person can have the flexibility of selecting the playlist instead of manually searching it. This is the way we can improve the user interactivity. Users who are not comfortable using the facial detection method can use the emojis to select the emotions, and songs can be played accordingly. This paper showcases the different modules regarding the face detection and selection of songs from the dataset according to detected emotion. It is a web-based application which requires the web camera as the main feature.