The human face plays a very important role in expressing a person’s emotion. Likewise, music is considered to be therapeutic and an inevitable mode of entertainment. Computer system with effective facial recognition algorithms can recognize the emotion and classify them into happy, sad, surprise, calm, angry, etc.,. We have developed an emotion based music player which works primarily based on these classifications. The Haar Cascade Classifier is used to classify these emotions based on user’s facial data. The songs are segregated accordingly and played to enhance the user’s mood. The user can also use the buttons (emojis) to select his/her mood. This project also deals with accounting functionalities and also provides mechanisms for privacy and security. This paper describes a very unique model which makes the facial recognition aspect more accurate than ever. Therefore, this application is developed in order to recognize the emotion of a person accurately and play a song based on the user’s mood.

Haar Cascade Classifier, Emotion Recognition, Music Player, Machine Learning, Data Mining

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