Web platform predicts prakriti using machine learning, highlighting personalized health recommendations in ayurveda.
"AyurWeb: A Coalesce of Ayurveda and Modern Technology," a web-based platform that employs modern computing resources to analyze and provide personalized Ayurvedic information. AyurWeb's primary purpose is to analyze and predict an individual's prakriti — or body constitution — according to the practice of classical Ayurveda while utilizing machine learning and web technology as backbone. It is a frontend created with HTML, CSS, JavaScript, and Bootstrap with a backend developed in PHP and SQL with the XAMPP server stack. The site uses a login and registration system to ensure authenticated user access to the core functionality of the site. The main feature is an interactive quiz that has ten questions and relies on a Python Flask API that processes the responses through a Naive Bayes Classification model. The model is trained from labelled prakriti datasets and produces-outcome of predicted prakriti as one of seven types: three doshic (vata, pitta, kapha), three duals (vatapitta, pitta-kapha, vata-kapha), or tridoshic; and provides users with personalized recommendations about their daily routines, eating, or health prevention based on their predicted prakriti. In addition to predicting prakriti, the site has a blog module that allows users to contribute; users can link social media accounts, and display educational information about doshas and to raise awareness and reduce misinformation about Ayurveda. This shows that AyurWeb is an example of a scalable digital health framework.
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Nirmit Hatti (2025) studied this question.
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