• Vanshdeep Singh Banga
• Anurag Pandey
• Omkar Awari
• Sheetal Jadhav

The immense application value and market potential of face recognition technologies have garnered a lot of attention. It is used in a number of industries, including security systems, digital video processing, and many other recent technical developments. Music is also acknowledged to have a stronger connection to an individual's emotions. It has a special capacity to improve one's mood. This research primarily focuses on developing an effective music recommendation system that employs facial recognition to ascertain the user's emotional state. The implemented approach would prove to be more effective than the current systems. Additionally, this would allow for the labor and time that were used to do the same manually.

"Music Recommendation System Using Emotion Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.k275-k280, April-2023, Available :http://www.jetir.org/papers/JETIR2304A40.pdf

"Music Recommendation System Using Emotion Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppk275-k280, April-2023, Available at : http://www.jetir.org/papers/JETIR2304A40.pdf