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@article{161763,
        author = {Gauri Bhandari and Chaitrali Rokade  and Gaurav Kolekar and Prof. Nilesh Mali },
        title = {E-Bliss:Deep Learning for Emotional well-being },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {6},
        pages = {66-69},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=161763},
        abstract = {In this research project, we focus solely on the utilization of facial pictures for emotion recognition. We propose a comprehensive approach centered on addressing challenges related to in-the-wild (ITW) facial expression recognition. To this end, we introduce a pytorch a deep learning framework, coupled with a other neural networks. Our extensive evaluations on prominent ITW FER datasets demonstrate the efficacy of our proposed method, showcasing its superiority over existing state-of-the-art techniques.},
        keywords = {Emotion recognition, Facial expression analysis, In-the-wild images, Super-resolution network.},
        month = {},
        }