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@article{181998,
        author = {Anurag Surve and Sanjyot Patil and Tejal Hande},
        title = {HealthEngine - AI based personalized health guidance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {423-432},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181998},
        abstract = {In today’s rapidly evolving healthcare landscape, the need for personalized, data-driven solutions has become increasingly critical. Despite technological advancements, individuals often face challenges in managing their health due to fragmented information, lack of personalized guidance, and limited access to preventive care. This paper introduces AI Healthengine, an intelligent platform designed to bridge these gaps by leveraging cutting-edge artificial intelligence, machine learning, and big data analytics. The system offers personalized health recommendations, medical report analysis, preventive care support, and condition-specific guidance. By incorporating advanced algorithms—including natural language processing, deep learning, and predictive analytics—AI Healthengine interprets complex medical data to deliver actionable insights tailored to individual users. The paper also discusses key challenges in AI healthcare applications such as data privacy, bias, and integration with existing systems, along with proposed solutions and future research directions. AI Healthengine represents a transformative step toward proactive, accessible, and ethical healthcare, empowering users with the knowledge and tools to take control of their well-being.},
        keywords = {},
        month = {July},
        }