Music Recommendation System Using Facial Expressions

Authors: M Velmurugan, Danthaluri Tharuni, Maramreddy udaya sree

Abstract: Music has a strong influence on how we feel and on how we experience our world. As AI and ML are rapidly developing, new possibilities are opening for making technology more personalized and emotionally intelligent.The project, entitled “Music Recommendation System Using Facial Expressions,” seeks to create a music player that can recognize the emotional disposition of its listener and provide recommendations for songs that correspond to their emotional states.A webcam records the face of the user in real time. Open CV and CNN algorithms analyze various emotions of the user such as happiness, sadness, anger, surprise, or having a neutral expression. Once such an expression has been identified, the system selects music from an existing database that comprises songs for various moods, suggesting songs that fit the user’s mood at any particular moment. A simple interface has also been offered for listening to these suggested songs.This kind of technology is quite different from the usual recommendations that depend solely on past listening patterns and selections. This technology offers a more intuitive and emotional link with the selection of music. This technology can prove beneficial in the entertainment sector itself and in providing health assistance. Preliminary testing of this technology has proven quite effective in terms of emotion recognition and popularity of the recommendations.Overall, this project aims to connect human emotions with smart digital systems by using computer vision, deep learning, and affective computing for a more personalized music experience.

DOI: http://doi.org/10.5281/zenodo.21772116