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@article{158773,
        author = {Anjali.CH and G. Kavya sri and B. Tharun and K. Venu gopal and Dharmendra Roy},
        title = {Music Recommendation based on current mood using AI and ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {10},
        pages = {1041-1046},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158773},
        abstract = {Music always has a special connection to our emotions. It is a method of connecting people all over the world through pure emotions. When all of this is considered, it is exceedingly difficult to generalize music and state that everyone would enjoy the same type. Music recommendation based on mood is greatly needed because they will assist humans in relieving stress and listening to soothing music based on their current emotions. Its primary goal is to accurately predict the user's mood, and songs are played by the application based on the user's selection as well as his current mood. This bot recognizes human emotions from facial images using Human-Computer Interaction (HCI). The extraction of facial elements from the user’s face is another critical factor. We used the CNN Algorithm to accurately detect the user's face in the live webcam feed and to detect emotion based on facial attributes such as the arrangement of the user's mouth and eyes. There is also a questionnaire where we can directly select a good option.},
        keywords = {Music Recommendation, emotion detection, human emotions, Human-Computer Interaction.},
        month = {},
        }