Visual Inspection Hybrid System for Vitamin-D Deficiency

Vitamin D is vital for health, but deficiencies are widespread due to poor diets, declining soil nutrients, and limited access to traditional diagnostics. Blood tests, though accurate, are invasive and costly, especially in low-resource areas. This project introduces a non-invasive, machine learning-based system to detect vitamin deficiencies via images of skin, hair, and nails, enhancing accessibility and supporting telemedicine.