/Emotion-based-Music-recommendation-system

This project implements an emotion-based music recommendation system using computer vision, deep learning, and knowledge graph techniques. The system takes input from the user's facial features captured through the camera and predicts the user's emotion using a convolutional neural network (CNN) trained on a dataset of 35,000 grayscale facial image

Primary LanguageJupyter NotebookMIT LicenseMIT

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