A Novel Emotion based Music Recommendation System using CNN

Music has a unique emotional connection with humans. It is a means of connecting individuals from all over the world. On the other hand, it is a highly difficult task to generalize music and claim that everyone would prefer and enjoy the same type. Emotion-based music selection is important because it can assist humans in reducing stress. Its major purpose is to accurately predict the user’s emotions, and play songs depending on the user’s preferences. Using Human Computer Interaction (HCI), the proposed bot recognizes human emotions from facial emotions. Another significant challenge is the extraction of facial features from the user’s face. The proposed CNN Algorithm is utilized in the proposed model to properly capture and recognize the user’s face from the live webcam stream and to detect emotions based on facial factors such as lips and eyes. Also, an additional option will be provided for people to make a good choice manually.