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@article{168908,
        author = {Prof. Narayana Reddy D and Prof. Govinda M.R and Prof. Vijaykumar Patil and Prof. Vivek Kajagar},
        title = {Patient-Centric Smart Healthcare System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {2316-2320},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168908},
        abstract = {This paper introduces an advanced health diagnosing system leveraging optical character recognition (OCR), image processing, and physiological sensors alongside a customizable reminder feature to enhance medication management and healthcare practices. The system accurately identifies pills using OCR and image analysis, providing essential details on medication safety, dosage instructions, and potential interactions. Real-time physiological data monitoring via temperature and heart rate sensors supports precise diagnostics using machine learning models trained on extensive medical records. A customizable reminder function facilitates patient adherence by enabling personalized pill intake schedules, thereby improving treatment compliance and health outcomes. By integrating cutting-edge technologies and personalized features, this system aims to reduce medication errors, optimize healthcare delivery, and empower individuals in managing their health effectively.},
        keywords = {Arduino, Pill Detection, OCR, Artificial Intelligence},
        month = {October},
        }