Music Recommendation System based on Emotion WebApp

Songs have always been a popular choice to try and describe and understand human emotions. Emotion-based classification systems for data can be quite useful for people dealing with stress. In this paper, We introduce EmoMusic, a music player that plays and recommends songs based on the user’s current mood. For identifying emotions, we used a convolutional neural network. By mapping the user’s emotions to the mood type of song, our music player can identify human emotion through a webcam and suggest songs to the user. Our music player recommends the song as well as predicts the mood of the music based on its lyrics and audio.