AyurPharma: Ayurvedic Drug Recommendation System

An ancient and personalized medicine system, Ayurveda promises holistic health solutions. This paper proposes a new approach that blends Ayurvedic principles with contemporary machine learning for personalized medicine recommendation. The Ayurvedic Recommendation System applies various machine learning models, including decision trees and neural networks, on patient data containing symptoms, medical history, and Prakriti assessment in order to detect and suggest a treatment for individual patients. The system offers the necessary integration of traditional wisdom and modern technology by simplifying complex diagnostic processes and healthcare accessibility. The methodology is to train a neural network using patient data to predict suitable Ayurvedic medicines. With the integration of natural language processing and user-friendly interfaces, the system ensures smooth input of health information and delivers actionable recommendations. This approach addresses the challenges of limited access to qualified Ayurvedic practitioners and promotes holistic wellness by balancing mind, body, and spirit. Furthermore, rigorous data privacy measures ensure user trust and foster broader acceptance of Ayurveda in mainstream healthcare. This research demonstrates the potential of integrating ancient medical practices with advanced machine learning to enhance personalized healthcare and empower individuals through a holistic, integrative approach.