• Shrinidhi Joshi
• Dr. Vandana S Bhat
• Dhanya M
• Kavya M Hiregoudar
• Nandita V Hiremath

Human face plays an important role in extraction of an individual’s behavior. Through human expressions the other person can know the current state of person. To calm down some of the moods like fear, angry music is the best therapy. But it is very time consuming and difficult to manage large playlists and to select the songs from these playlists. Thus, it would be very helpful if there is a model which plays the music according to person's mood. Facial expressions are given to inbuilt camera. The image is captured using camera and that image is passed under different stages to detect the mood or emotion of a user. HarCascade, OpenCV algorithms were used for detecting the face. so, a model is developed by using fisher face, keras which maps the emotion with the images. According to this expression captured, music is played from a database. And model will display the expression which is captured with respect to song is played from a database.

HarCascade, OpenCV, Keras

"FACIAL EXPRESSION BASED MUSIC PLAYER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.f98-f100, June-2022, Available :http://www.jetir.org/papers/JETIR2206513.pdf

"FACIAL EXPRESSION BASED MUSIC PLAYER ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. ppf98-f100, June-2022, Available at : http://www.jetir.org/papers/JETIR2206513.pdf