• S Rao Chintalapudi
• Gajji Mahesh
• Badiga Harshini
• Charukonda Bhairava Harini

This paper presents an automatic music recommendation system using facial emotion detection with a Convolutional Neural Network (CNN). The model captures real-time facial expressions via a webcam, classifies emotions such as happy, sad, angry, surprised, neutral and recommends music using Deep Learning and Streamlit. Achieving an accuracy of around 85%, it enhances recommendation precision while reducing computational time. This system is ideal for music streaming platforms and therapeutic applications. The final output is displayed as an audio-visual experience via YouTube integration in a user-friendly web application.

Deep Learning, Convolutional Neural Networks, Recommendation Systems, Haar Cascades, Emotion Detection

"Music Recommendation System based on Facial Expression using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.f59-f62, May-2025, Available :http://www.jetir.org/papers/JETIR2505599.pdf

"Music Recommendation System based on Facial Expression using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppf59-f62, May-2025, Available at : http://www.jetir.org/papers/JETIR2505599.pdf