Automated Prakriti Classification: A Hybrid Machine Learning and Computer Vision Approach Using Color FERET Facial Dataset for Tridosha Identification

This research presents a hybrid machine learning and computer vision methodology for automated Prakriti classification in Ayurveda, utilizing the Color FERET facial dataset for Tridosha (Vata, Pitta, Kapha) identification. The proposed approach integrates feature extraction from facial images with supervised classification algorithms to achieve accurate and automated Prakriti determination. Experimental results demonstrate promising classification accuracy, highlighting the potential of AI-driven tools in personalized Ayurvedic diagnostics and healthcare.