• Neha khan
• Taher Patanwala
• Atiya choudhary
• Prof. Nargis shaikh
• Dr. Varsha shah

This project Emo player (an emotion based music player) is a novel approach that helps the user to automatically play songs based on the emotions of the user. It recognizes the facial emotions of the user and plays the songs according to their emotion. The emotions are recognized using a machine learning method Support Vector Machine (SVM )algorithm. SVM can be used for classification or regression problems. It finds an optimal boundary between the possible outputs. The training dataset which we used is Olivetti faces which contain 400 faces and its desired values or parameters. The webcam captures the image of the user. It then extract the facial features of the user from the captured image. The training process involves initializing some random values for say smiling and not smiling of our model, predict the output with those values, then compare it with the model's prediction and then adjust the values so that they match the predictions that were made previously. Evaluation allows the testing of the model against data that has never been seen and used for training and is meant to be representative of how the model might perform when in the real world. According to the emotion , the music will be played from the predefined directories

SVM, Olivetti faces, Emotions, Songs, Machine learning, Training , Testing

"Emotion based music player", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.e1-e6, April-2022, Available :http://www.jetir.org/papers/JETIR2204401.pdf

"Emotion based music player", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppe1-e6, April-2022, Available at : http://www.jetir.org/papers/JETIR2204401.pdf