International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Survey on Human Prakriti and Tridosha (Vata, Pitta and Kapha) Based on Physiological Features Using Machine Learning and Image Processing Techniques

Author : Arpit Trivedi ¹ Dr.Dharmendra Patel ²

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Date of Publication :19th October 2021

Abstract: Human Prakriti and Tridosha are vital for human health and fitness as per Ayurveda. Human prakriti can identified by many ways in Ayurveda. Physiological features of human body are one of the essential measure to diagnose prakriti constituents. With the help of image processing techniques of computer science, we can make the process of identification of human prakriti in automatic way. In this paper, we studied exhaustive literature survey based on three aspects: prakriti and tridosha, physiological features and contribution of machine learning and image processing. We also identified research gaps based on literature survey. We have also proposed a model based on image processing in order to classify human prakriti based on physiological features from images.

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