• PURNA SUDHA SRIHASA ALLURI
• SARAGADAM SRIDHAR

Human expression plays a vital role in determining the current state and mood of an individual, it helps in extracting and understanding the emotion that an individual has based on various features of the face such as eyes, cheeks, forehead or even through the curve of the smile. Music is basically an art form that soothes and calms human brain and body. Taking these two aspects and blending them together our project deals with detecting emotion of an individual through facial expression and playing music according to the mood detected that will alleviate the mood or simply calm the individual and can also get quicker song according to the mood, saving time from looking up different songs and parallel developing a software that can be used anywhere with the help of providing the functionality of playing music according to the emotion detected. By developing a recommendation system, it could assist a user to make a decision regarding which music one should listen to helping the user to reduce his/her stress levels. The user would not have to waste any time in searching or to look up for songs and the best track matching the user’s mood is detected, and songs would be shown to the user according to his/her mood. The image of the user is captured with the help of a webcam. The user’s picture is taken and then as per the mood/emotion of the user an appropriate song from the playlist of the user is shown matching the user’s requirement.

Convolutional Neural Networks (CNNs) , Support Vector Machines (SVMs), Recurrent Neural Networks (RNNs) , K-Nearest Neighbor (KNN), Long Short-Term Memory(LSTM). Connectionist Temporal Classification(CTC)

"EXPRESSION BASED MUSIC PLAYER USING DEEPLEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.i20-i23, July-2023, Available :http://www.jetir.org/papers/JETIR2307803.pdf

"EXPRESSION BASED MUSIC PLAYER USING DEEPLEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppi20-i23, July-2023, Available at : http://www.jetir.org/papers/JETIR2307803.pdf