Enhancing Music Recommendations with Emotional Insight: A Facial Expression Approach in AI

Music recommendation systems are only one of the many fields that artificial intelligence (AI) has transformed. A developing field called “emotion-aware music recommendation” aims to improve user experience by including emotional context into the suggestion procedure. This study investigates how AI -powered music recommendation systems can incorporate facial expression analysis. The proposed system suggests a unique method that makes use of deep learning methods to instantly recognize and assess user facial emotions. The proposed system creates music suggestions that fit the user's emotional state by identifying emotions like joy, melancholy, and enthusiasm. Experimental findings that show how our strategy might increase user engagement and pleasure. The results show how emotion-aware AI systems have the ability to produce individualized and emotionally impactful musical experiences.