• Harshada Bharat Kavathekar
• Rutuja Rajendra Shiradwade
• Sanket Ashok Patil
• D. O. Shirsath

Music is an essential part of daily life. In today’s world, Music plays an important role to lower stress and improving health. Even as people get older, music has the power to improve their health and well-being. Playing music has been reported to improve social cohesiveness, enjoyment, personal growth, and empowerment. It has also been found to help people recover from depression and maintain their wellbeing in their later years of adulthood. Music listening may improve the lives of older and paralyze people in an environment where life expectancy at 65 years of age is rising quickly and yet an increasing proportion of older individuals are reported to be living alone or suffering from despair. As technology develops, these old and paralyzed people feel more challenged while using manually operated music players. They are dependent on others to play their music playlist. To overcome this problem, the proposed system will play the music automatically by face identification. This system allows them to capture their faces and recognize them and then play the songs according to their playlist.

Machine learning,open CV.

"Machine Learning Based Music Player Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.i561-i564, July-2023, Available :http://www.jetir.org/papers/JETIR2307879.pdf

"Machine Learning Based Music Player Using Face Recognition", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppi561-i564, July-2023, Available at : http://www.jetir.org/papers/JETIR2307879.pdf