Emotion Detection and Music Recommendation System

• URL: http://arxiv.org/abs/2503.20739v1
• Date: Wed, 26 Mar 2025 17:22:06 GMT
• Title: Emotion Detection and Music Recommendation System
• Authors: Swetha Kambham, Hubert Jhonson, Sai Prathap Reddy Kambham,
• Abstract summary: We present a novel system that uses deep learning for music recommendation and emotion-based detection.<n>The system analyses human emotions in real-time and then plays music that reflects the mood it has discovered.<n>The objective of our system is to improve emotional well-being through music therapy by offering a responsive and automated music-selection experience.
• Score: 0.0
• License: http://creativecommons.org/licenses/by-sa/4.0/
• Abstract: As artificial intelligence becomes more and more ingrained in daily life, we present a novel system that uses deep learning for music recommendation and emotion-based detection. Through the use of facial recognition and the DeepFace framework, our method analyses human emotions in real-time and then plays music that reflects the mood it has discovered. The system uses a webcam to take pictures, analyses the most common facial expression, and then pulls a playlist from local storage that corresponds to the mood it has detected. An engaging and customised experience is ensured by allowing users to manually change the song selection via a dropdown menu or navigation buttons. By continuously looping over the playlist, the technology guarantees continuity. The objective of our system is to improve emotional well-being through music therapy by offering a responsive and automated music-selection experience.

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