• DANDU LAKSHMI PRASAD
• P. Hima chandhana
• Mangati Vaishnavi
• C. Thonish

The rising need for individualized healthcare has spurred the amalgamation of conventional medical expertise with contemporary digital technologies. Ayurveda is one of the oldest holistic healthcare systems in the world. It focuses on treating each person based on their constitutional type, which is called Prakriti. These constitutions are mainly divided into three doshas: Vata, Pitta, and Kapha. These doshas affect a person's physical traits, metabolism, behavior, and dietary needs. This paper introduces Sathvic Health, a tailored Ayurvedic wellness management system that employs a questionnaire-based approach to ascertain an individual's predominant dosha and offer personalized dietary and lifestyle guidance. The suggested system uses a structured questionnaire based on traditional Ayurvedic ideas to look at users' physical and behavioral traits. A rule-based scoring system looks at each answer and figures out what the user's main dosha type is. The system makes personalized diet and health suggestions based on the classification results. These suggestions are meant to keep the body in balance and encourage preventive care. The application is a web-based platform that makes it easy for users to access the system and get health information right away. By using both traditional Ayurvedic diagnostic methods and modern web technologies, the system shows how digital platforms can help people manage their nutrition and lifestyle in a way that works for them. The proposed model enhances digital wellness solutions by advocating preventive healthcare, facilitating access to Ayurvedic guidance, and motivating individuals to embrace healthier lifestyle practices congruent with their natural body constitution.

Ayurveda, Vata–Pitta–Kapha, Personalized Wellness, Dosha Classification, Questionnaire-Based Model, web application.

"SATHVIC HEALTH-A Personalized Diet Recommendation Using Vata–Pitta–Kapha Classification Through a Questionnaire Based Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 3, page no.c78-c84, March-2026, Available :http://www.jetir.org/papers/JETIR2603212.pdf

"SATHVIC HEALTH-A Personalized Diet Recommendation Using Vata–Pitta–Kapha Classification Through a Questionnaire Based Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 3, page no. ppc78-c84, March-2026, Available at : http://www.jetir.org/papers/JETIR2603212.pdf