Smart Sound: AI-Powered Face Detection for Personalized Music Recommendation
R. Deepika, Mood Srikanth, Tirunagari Sonakshi, Nageswara Goud · 2025
Traditional music recommendation systems typically depend on user feedback, like listening history or genre, and cannot respond to real-time emotional states. To overcome this shortcoming, the emotion-based music recommendation system based on AI employs computer vision and deep learning to identify facial emotions and suggest personalized songs. The system, based on a pre-trained model, identifies happiness, sadness, anger, surprise, neutrality, and disgust in real-time. Based on the identified emotion, it dynamically recommends songs to match the mood of the user, supporting emotional participation. If sadness is identified, for example, it recommends lively music, and a smile prompts a lively song. As a web application, the system makes access and easy interaction feasible. With the integration of AI-based emotion detection and music recommendation, the system surmounts the shortcoming of traditional methods, providing an adaptive, intelligent, and interactive listening experience.