Abstract: This study introduces a novel music recommendation system driven by facial expressions, aiming to ease the burden of selecting music from vast collections. Acknowledging that more than 60% of users feel overwhelmed by extensive song libraries, the system utilizes webcam images for real-time emotion analysis. By suggesting personalized songs aligned with the user's mood, the system minimizes search efforts and reduces stress. The primary focus is on enhancing user experience through concise and efficient music recommendations, providing a unique solution to the widespread challenge of managing large music libraries.

Keywords: music recommendation, facial expression analysis, extensive libraries, webcam

| DOI: 10.17148/IARJSET.2024.11461