• Bhargavi
• Chinmayi
• K. Kanchana
• M. S. Sudhir Srinivas
• Mrs. Kavyashree G. M

Music significantly contributes to development and improves one's mood because it is a major source of amusement and motivation to continue. It can help us and give us confidence when we're down. We frequently experience a fall in mood when we listen to depressing music. We experience happiness when we listen to upbeat music. Our paper proposes a web interface, which suggests music to the user depending on his present emotions and thus uplift the user’s mood. This system uses the device camera to take a picture of the user and recognizes his face & facial expressions. We have used ResNet 50 Convolutional Neural Network to build the facial expression recognizing model. We have used a dataset containing 7000+ real-time images, created by ourselves.

Facial features, Face Recognition, Image Processing, Music Therapy, Mood Detection, Facial Expression, Mood Detection, Music Recommendation, ResNet50

"ML approach for musical therapy using facial expressions.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.c488-c492, May-2023, Available :http://www.jetir.org/papers/JETIR2305271.pdf

"ML approach for musical therapy using facial expressions.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppc488-c492, May-2023, Available at : http://www.jetir.org/papers/JETIR2305271.pdf