An Automation for Ayurveda Drug Recommendation System using ML

In today’s digital healthcare era, Ayurveda is still a valuable but less-digitized traditional system. This paper proposes an intelligent Ayurvedic drug recommendation using Machine Learning (ML) techniques. The system automates disease prediction based on patient symptoms and recommends suitable Ayurvedic treatments. By leveraging Random Forest, Naive Bayes, and Support Vector Machine (SVM) algorithms, this system enhances diagnostic efficiency and minimizes manual errors. Integrated with a web-based platform, it also manages patient records, historical prescriptions, and doctor assignments. The proposed model demonstrates promising accuracy and scalability, offering a reliable solution for modernizing Ayurveda using data-driven technology.