Emotion based Music Recommendation System

Abstract

The internet and mobile technology have developed quickly and made it possible for us to freely access various music resources. While the music industry might lean more toward certain genres of music. But there is no particular way by which we can understand what exactly user wants to listen based on current mood or emotion. Music is a great way to express emotions and moods. For example, people like to listen to happy songs when they are feeling good, a soothing song can help us to relax when we're feeling stressed or exhausted and people tend to listen some sort of sad songs when they are feeling down. So in this project, we are going to develop a system which will capture the real time emotion of user by conversating with user or by other means and based on that emotion related songs will be recommended. We are going to categorize songs into the groups based on the categories like Happy, Sad, Neutral etc. Then according to the captured emotion from the user, the songs related to that emotion will be recommended. In this way, user can listen the songs according to the mood.