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Abstract: This research paper introduces an innovative approach to music recommendation systems, utilizing facial expression analysis for the delivery of personalized music suggestions. Through the utilization of machine learning algorithms, the system assesses the user's emotional state by analyzing facial expressions, subsequently offering music recommendations aligned with their mood. The proposed methodology incorporates a deep learning-based model for the detection and classification of facial expressions, complemented by a collaborative filtering algorithm to generatepersonalized music recommendations
Sampada Huria (Fri,) studied this question.
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