research Vitadetect : Vitamin Deficiency Detection
VitaDetect is an AI-powered web platform designed to screen for vitamin deficiencies early by analyzing images of nails, tongue, and skin using Convolutional Neural Network (CNN) architectures. It features three specialized deep learning models for body-part-specific analysis: the nail model detects conditions like Bluish Nail and Alopecia Areata linked to Iodine and Vitamin D deficiencies; the tongue model identifies Pale Tongue and Diabetes-related indicators associated with Iron and Vitamin B12 deficiencies; and the skin model recognizes Acne and Carcinoma patterns related to Vitamin D and Vitamin A deficiencies. The platform includes additional features such as personalized diet plans, confidence visualization, health recommendations, doctor discovery, and privacy-preserving image processing.
