Sangeet: A Music Recommendation System Using Facial Emotion Recognition

The impact of music on human emotional states has been the subject of numerous research. Different musical genres evoke a wide spectrum of feelings in people, and music is essential for both personality development and the treatment of illnesses. People’s thoughts and feelings are greatly influenced by music. This has an impact on bodily and cognitive health, and the concept of music-assisted wellbeing is becoming more popular. When treating depression, music therapy is seen to be a useful supplement to psychoanalysis. Work, study, sports, relaxation, tiredness alleviation, and music therapy can all benefit from the mental and physical functioning that music provides. When people look for music based on their interests and moods, they frequently become perplexed.Individuals usually listen to a particular genre or musician when they are in a particular mood. In particular, music can boost energy and reduce anxiety while regulating mood. Mental health can benefit from listening to the appropriate music at the appropriate moment. As a result, people’s moods fluctuate and their attraction for music grows. Our goal in this project is to develop an application that can identify emotional and mood-related facial expressions. It will use machine learning and deep learning techniques to suggest music based on these features.