AYURVEDIC DOSHAS IDENTIFICATION USING FACE AND BODY IMAGE FEATURES

Abstract

Ayurveda is an alternative medicine system with historical roots in India. In Ayurveda, any disease is considered to be caused by the imbalance of various Doshas (Vata, Pitta & Kapha) in human body. In order to diagnose this imbalance of doshas, there are several methods, out of which one is to observe visually the different features of the human body. Body type, skin type, hair type, eyes type, face type, etc possess different characteristics under the influence of various doshas. Hence the idea is to automate this process where we scan a body image using machine learning and deep learning algorithms and classify the different features into different doshas to finally conclude the dominant dosha as result.