Abstract
Abstract: The goal of this project is to develop an emotion-based music recommender system that provides personalized music recommendations based on the user's current emotional state. The system incorporates an emotion detector that analyses user’s facial expressions, to determine their current mood. Based on the detected emotion, the system recommends music tracks that match the user's current emotional state
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