HERBALHEALER: Personalized Ayurvedic Solutions

Abstract— Ayurveda, one of the world's oldest holistic healing systems, relies on natural remedies to promote overall well-being and treat various ailments. However, access to structured and personalized Ayurvedic knowledge remains a significant challenge due to scattered information sources and the lack of a centralized, digital repository. The project “HERBALHEALER: Personalized Ayurvedic Solutions” aims to address these limitations by developing an innovative platform that provides tailored herbal remedies based on user symptoms. The system integrates a structured database of medicinal plants, their therapeutic benefits, and a symptom-based recommendation engine to offer precise, evidence-backed natural treatments. By leveraging MySQL for efficient data management and web technologies for seamless user interaction, HERBALHEALER ensures easy accessibility for both practitioners and general users. Unlike conventional search-based approaches, this system employs a structured symptom-matching algorithm that enhances the accuracy and reliability of recommendations. The platform not only promotes self-care through Ayurveda but also serves as a valuable tool for researchers, students, and healthcare practitioners seeking credible Ayurvedic knowledge. The development of HERBALHEALER aligns with the global shift toward digital healthcare solutions, enabling individuals to explore traditional medicine in an organized and scientifically structured manner. Future enhancements include AI-driven recommendations, machine learning-based symptom analysis, multilingual support, and integration with telemedicine services for expert consultations. By digitizing and preserving Ayurvedic wisdom, HERBALHEALER contributes to the modernization of traditional medicine while ensuring accessibility and accuracy for a global audience.