Smart Hela Wedakama Application to Guide Patients and Apprentice Native Physicians

This research paper explores the transformative potential of Machine Learning (ML) and augmented Reality (AR) in healthcare and Sri Lankan traditional medicine otherwise "Hela Wedakama". It focuses on four key aspectsas the ayurvedic plant identification component leverages using Machine Learning(ML) models to identify medicinal plants with decent accuracy, fostering the preservation and utilization of ayurvedic remedies, disease diagnosis, and doctor recommendations utilizing voice recognition and machine learning to enhance healthcare accessibility, handwritten prescription identification offers a specialized solution, catering to Sinhala language complexities and, an augmented reality-based application visualizes pressure points otherwise "Nila Wedakama", bridging the gap between traditional practices and modern healthcare. These integrative approaches exemplify the potential of traditional medicine in modern contexts. The paper highlights the benefits of ML & AR to advance patient care, streamline processes, and contribute to the development of skilled practitioners, driving innovation in healthcare and traditional medicine practices.