Personalized Ayurvedic Medicine Recommendations Using Decision Tree Algorithms and Prakriti Analysis

This article presents an ayurvedic medicine recommendation system that has used the decision tree algorithm to make customized treatment recommendations based on user inputs gathered from symptomatology and body constitution (Prakriti) information. The system also embeds Google Maps as a guide to finding nearby ayurvedic clinics for users. This system aims to fill the gap between traditional Ayurvedic practices and modern technology with an increased interest in alternative medicine to enhance the accessibility of personalized healthcare solutions. We also evaluated the system’s accuracy, precision, and recall in terms of performance, demonstrating its ability to select appropriate Ayurvedic treatments and clinics.