Personalized Health Recommendations-based on Ayurveda using Machine Learning

Ayurveda, the ancient Indian system of medicine rooted in the wisdom of the Atharva Veda, emphasizes harmony and balance within the body. It integrates natural remedies, including dietary adjustments, herbal treatments, and yogic breathing practices, to promote overall well-being and address health concerns. Ayurveda fundamentally treats people as individuals, knowing that different people have a differently structured individual body: a concept called prakriti. This research now combines the wisdom of Ayurveda with the power of machine learning, creating a system to predict an individual's prakriti, dominant dosha, and Agni, based on responses to a simple questionnaire. A descriptive survey was conducted among healthy students from both genders aged between 18 and 30 years. Doshas and Prakriti were evaluated using a 40-item self-assessment questionnaire validated in previous study. Different machine learning techniques, including ensemble learning were used to make the system accurate and reliable. The models delivered a good amount of accuracy in predicting prakriti with 81%, dominant dosha with 80%, and Agni with 78%. Using these predictions, the system provided recommendations on diet, lifestyle changes, yoga, and other Ayurvedic practices. This system was implemented in Python and made interactive with a user-friendly interface. How modern technology can work alongside traditional Ayurvedic principles to help improve overall well-being is shown by this research.