• Prof Dr.Prashant Nitnaware
• Simran Mallar
• Saniya Farash
• Shreya Gaikwad
• Harshinee Nadiminty

Music recommendation systems have ample choice of songs and genres for a user to listen to, making it difficult for many users to make a selection. Keeping this in mind we propose a personalized emotion based music player that utilizes a person's facial expressions through a webcam to detect their emotion in real time. This approach not only personalizes the music selection process but also offers a more intuitive and interactive way for users to discover new songs and genres. When the webcam is activated, the system uses the MTCNN model for real-time emotion detection. When a face is detected, the system deploys the MobileNet model, a convolutional neural network pre-trained on the ImageNet dataset, to detect emotions, classify the emotions into different categories, and recommend music that aligns with the emotional state. To train the emotion detection model, the FER 2013 dataset from Kaggle is used. These images capture a wide range of emotional states, providing a rich and diverse dataset for training the emotion detection model. The diversity of the images ensures that the model is robust and capable of handling various facial expressions, lighting conditions, and facial orientations, enhancing its overall performance and reliability. Lastly, when the user's emotion is determined, the system recommends a list of songs that best match their current mood. This personalized music player provides a mix of Hindi and English songs based on their emotional state. By considering the user's current emotions, the system significantly improves the overall music recommendation experience.

Sung-Geet: Personalized Music Player Using Real-Time Facial Emotions

"Sung-Geet: Personalized Music Player Using Real-Time Facial Emotions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.i367-i378, June-2024, Available :http://www.jetir.org/papers/JETIR2406838.pdf

"Sung-Geet: Personalized Music Player Using Real-Time Facial Emotions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppi367-i378, June-2024, Available at : http://www.jetir.org/papers/JETIR2406838.pdf