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@article{192690,
        author = {AMAN RAJ and Nikita Kashyap and Himanshi Tomar and Deepanshu Rawat and Ms.Pooja Singh},
        title = {MINDCARE AI: A Comprehensive Wellness Companion Enabled by Artificial Intelligence},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2235-2240},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192690},
        abstract = {We introduce MINDCARE AI, a unified wellness platform that integrates a conversational AI interface, emotion detection, yoga pose analysis, and personalized nutrition planning within a single system. The platform is designed to simultaneously address mental, physical, and nutritional aspects of a user’s well-being. We detail the system’s architecture and methodology—covering the AI tools and algorithms employed—and discuss implementation concerns such as privacy, scalability, and ethical design considerations.
A review of recent literature (2020–2025) underscores the effectiveness of chatbot-driven mental health interventions, improvements in facial emotion recognition techniques, and the use of computer vision for real-time yoga pose analysis. Identified research gaps point to the absence of unified platforms encompassing all dimensions of wellness. We present the system’s development objectives and preliminary prototype evaluation, which show promising outcomes in terms of user engagement and health improvements.
Planned future work includes adding more sensors, employing federated learning to enhance privacy, and conducting thorough user evaluations. This proposed system advances the convergence of AI technologies to provide integrated support for overall health and wellness.},
        keywords = {},
        month = {February},
        }