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@article{160249,
        author = {Omkar Gurav and Aditya Kumar and Rageshri Bakre},
        title = {FACE MOOD DETECTION FOR THE BETTERMENT OF MENTAL HEALTH USING RAAG THERAPY},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {1},
        pages = {31-34},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=160249},
        abstract = {Face recognition technology has widely attracted attention due to its enormous application value and market potential. It is being implemented in various fields like security systems, digital video processing, and many such technological advances. Additionally, music is a form of art, which is known to have a greater connection with a person’s emotion. It has got a unique ability to lift up one’s mood. Our project focuses on building an efficient Indian Classical Raag music recommendation system which determines the emotion of the user using facial recognition techniques. Music is believed to be the language of emotions, and listening to music is an activity that is part of everyday living. These emotions are referred to as rasa (aesthetics) in ancient Sanskrit literature. Raga which is an important aspect of Indian Classical Music has a close relationship with rasa or aesthetics. Lyrics or words in any language are a medium of expressing an emotion or rasa through it. Indian Classical Music has a rich history that captivates listeners and invokes emotions. },
        keywords = {Emotions Detection, Raga Recommendation, CNN, Raga, Rasa, Hindustani Classical Music.},
        month = {},
        }