• Mohith H M
• Dr. Sunitha K
• Rakesh Krishna R
• Likhith M R
• Yashas Rajesh

The Ayurvedic Oracle Symptom Sage brings together the timeless wisdom of Ayurveda and the transformative potential of artificial intelligence to create a personalized health assistant. This AI-driven chatbot provides tailored diagnostic insights and remedies based on user-reported symptoms, offering suggestions for diet, herbal treatments, and lifestyle changes rooted in traditional Ayurvedic principles. By integrating machine learning techniques like Naive Bayes and SVM, the system evolves and improves over time through a user feedback loop. The project not only simplifies access to holistic healthcare but also makes Ayurveda relevant to the digital age, ensuring practical, reliable, and personalized health solutions. By bridging ancient practices with modern technology, it empowers users to achieve balance and well-being, making Ayurveda accessible to a global audience.

Ayurveda, Artificial Intelligence (AI), Machine Learning, Symptoms Analysis, Personalized Healthcare, Naive Bayes, Support Vector Machine (SVM), Herbal Remedies, Holistic Health, Feedback Loop, Ayurvedic Diagnostics, Ensemble Learning, Lifestyle Modifications.

"AYURVEDIC ORACLE SYMPTOM SAGE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.b906-b909, December-2024, Available :http://www.jetir.org/papers/JETIR2412188.pdf

"AYURVEDIC ORACLE SYMPTOM SAGE ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppb906-b909, December-2024, Available at : http://www.jetir.org/papers/JETIR2412188.pdf