Review on Facial Expression Based Music Recommendation System

Abstract

The Emotion-Aware Smart Music Recommendation System represents a pioneering venture in the realm of music technology, aiming to revolutionize the way we connect with music. This system employs advanced emotion recognition techniques, including facial expression analysis, voice sentiment analysis, and biometric sensors, to continuously assess the user's emotional state. Complemented by a meticulously curated music database with songs categorized based on emotional attributes, the system's recommendation engine utilizes machine learning and deep learning models to offer music that aligns with the user's current emotional profile. The integration of a feedback loop ensures that the system adapts and refines its recommendations, improving the user's experience over time. Accessible across a variety of platforms, including mobile apps, web interfaces, and smart speakers, this system aspires to offer a profoundly personalized and emotionally resonant listening experience, redefining the relationship between music and emotion.