• Dhanush S Jadhav
• Shithej S Suvarna
• Sumanth
• Swathi S Bhat
• Dr. Parvathraj K M M

This project presents a user-friendly system that uses deep learning to detect vitamin deficiencies by analyzing images of the skin, lips, eyes, tongue, and nails. It combines an intuitive web interface with a powerful ResNet-50 model to classify images and provide quick predictions along with personalized dietary advice. The system is built with React, FastAPI, Flask, and Streamlit, offering a secure, non-invasive, and accessible solution for early detection and health awareness.

Deep Learning, Vitamin Deficiencies, Image Analysis, ResNet-50, Classification, Dietary Advice, Web Interface

"Image Based Vitamin Assessment Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.663-666, July-2025, Available :http://www.jetir.org/papers/JETIRGX06126.pdf

"Image Based Vitamin Assessment Using CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp663-666, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06126.pdf