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@article{182361,
        author = {Ruchi Chandragupt Patle and Nitin S.Thakre and Saloni Anil Bhivgade and Prajwal Jogeshwar Bawane and Avantika Ravindra Mahajanwar and Tanushree Digambar Awachat},
        title = {Emotion Detection Using Image Processing by Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {1604-1608},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182361},
        abstract = {This technology leverages mortal emotion discovery to give an alternate subcaste of protection and receptivity in colorful operations. By assaying facial expressions and feelings, systems can corroborate the authenticity of individualizes, descry implicit pitfalls, and gain precious client receptivity. In security settings, emotion discovery can help confirm that the subject is a real person, not just a model or image. In business, emotion recognition technology can help companies understand client responses to their products or services, enabling further effective marketing strategies and better client satisfaction. By using emotion discovery ways, businesses can unleash precious receptivity, enhance their products and services, boost client satisfaction and missing employing associations},
        keywords = {Emotion Discovery, Haar Cascade, KNN, Face Detection, Machine Learning.},
        month = {July},
        }