• Vishal Bogam
• Vedant Urkudkar
• Ruchita Vairagade

The increased global interest in alternative medicine, especially herbal remedies, has fueled the need for intelligent systems that can bridge the gap between ancient medical wisdom and modern technological advances. Arogya AI is an artificial intelligence-powered recommendation system designed to suggest herbal remedies tailored to individual symptoms and health conditions. By integrating natural language processing (NLP), knowledge-based reasoning, and supervised learning, the system interprets user inputs, maps them to recognized symptoms, and recommends appropriate herbal treatments based on curated Ayurvedic, Unani, and traditional medical sources. This paper presents the design, development, and evaluation of Arogya AI, showcasing its potential to improve access to safe, personalized herbal health advice.

artificial intelligence, herbal remedy, natural language processing, machine learning, knowledge-based system, ayush, symptom analysis, flask web app, supervised learning, personalized healthcare

"Arogya AI - AI Powered Herbal Remedy Recommender Chatbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.c683-c686, January-2026, Available :http://www.jetir.org/papers/JETIR2601281.pdf

"Arogya AI - AI Powered Herbal Remedy Recommender Chatbot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppc683-c686, January-2026, Available at : http://www.jetir.org/papers/JETIR2601281.pdf