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@article{151848,
        author = {Tejas Mandre and Shreyas Vaidya and Mehul Chaudhari and Asha Pawar},
        title = {Songs recommendation based on facial expressions},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {1},
        pages = {1297-1299},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151848},
        abstract = {Machines are becoming powerful day by day. They are getting more human with time. On that note, we created a fully functional system that could take in the facial expressions of the user and recommend/predict the type of music that they want to listen to. The machine learning model uses concepts of convolutional networks to detect the faces in the camera stream. After detection it analyses the frames in the stream and based on the training data set predicts the mood of that picture. Further, this model is put into production using the REST API architecture.},
        keywords = {Convolutional neural networks, Machine Learning, Recommendation systems, REST API architecture},
        month = {},
        }