• Mansi Wairkar
• Aarti Madane
• Samruddhi Sawant
• Shruti Agrawal

Recent research and reports affirm that people react constantly to music and that music profoundly affects an individual’s cerebrum action. This undertaking revolves around making an application to recommend music for a client dependent on their mood by catching their facial expression. Open Computer vision is an interdisciplinary field that passes on an undeniable level comprehension of advanced pictures or recordings to webcams. Our Purposed System predominantly revolves around the strategy for identifying human feelings or emotions in a music player. In this system, computer vision algorithms are utilized to decide the user’s mood through facial expressions. When the mood is recognized, the system recommends a playlist for that mood, saving a great deal of time for a user over choosing and playing melodies physically.

Face Detection, Emotion detection, Haar cascade classifier and fisher face Algorithm.

"Music Recommendation System based on Facial Expressions.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.662-665, April-2021, Available :http://www.jetir.org/papers/JETIR2104288.pdf

"Music Recommendation System based on Facial Expressions.", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp662-665, April-2021, Available at : http://www.jetir.org/papers/JETIR2104288.pdf