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@article{160178,
        author = {Archit Sharma and Harsh Bansal and Aditya Joshi and Preet Arnav Singh},
        title = {Facial Recognition and Mood Detection and Recommend Songs},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {1308-1313},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160178},
        abstract = {When faced with a large selection of music, it can be challenging for individuals to decide what to listen to. Fortunately, there are various recommendation systems that can help users find what they're looking for. With this music recommendation system we aim to provide users with options that match their preferences. By analyzing a user's facial expression and emotions, we can gain a better understanding of their current mental and emotional state. This information can be leveraged to offer music recommendations that are tailored to each individual's preferences.},
        keywords = {Facial recognition, mood detection, artificial intelligence, personalized experience, music streaming services, emotional state, physiological cues, accuracy, potential risks, ethical implications, CNN (Convolutional Neural Network),ANN(Artificial Neural Network),Grayscale.},
        month = {},
        }