Vitamin Deficiency Detection through the Advanced Image Processing and Deep Learning

S. Malleswari, S. Ujwalaprabha, V. Leena Parimala, M. Medhasree, P. Amrutha

2025

Abstract

Vitamin deficiency is a serious public health issue, normally leading to serious complications if undiagnosed until advanced stages. Conventional diagnostic methods, including blood work and clinical assessment, involve specialized apparatus and trained professionals, thus becoming ever more out of reach in remote and disadvantaged communities. This study proposes a non-invasive, artificial intelligence-based facial and skin evaluation system using convolutional neural networks (CNNs) and image processing methods to identify vitamin deficiency from facial and skin features such as skin texture, eye color, nail health, and hair condition. The system captures real-time images using smartphone or computer cameras, processes the images using artificial intelligence models, and provides instant diagnostic feedback. With the use of deep learning algorithms, the model increases accuracy in identifying early signs of nutritional deficiencies. The approach eliminates laboratory tests and expert interpretation, thus enabling early detection and self-monitoring. Easy to use in design, the system is both healthcare professional- and patient-friendly. Telemedicine, mobile health programs, and community health programs are scalable in this AI-based system. This new solution can revolutionize preventive healthcare, enhance global health outcomes, and enhance accessibility, particularly in resource-poor environments.

Paper Citation

in Harvard Style

Malleswari S., Ujwalaprabha S., Parimala V., Medhasree M. and Amrutha P. (2025). Vitamin Deficiency Detection through the Advanced Image Processing and Deep Learning. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 645-650. DOI: 10.5220/0013918200004919

in Bibtex Style

@conference{icrdicct`2525,
author={S. Malleswari and S. Ujwalaprabha and V. Parimala and M. Medhasree and P. Amrutha},
title={Vitamin Deficiency Detection through the Advanced Image Processing and Deep Learning},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={645-650},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013918200004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Vitamin Deficiency Detection through the Advanced Image Processing and Deep Learning
SN - 978-989-758-777-1
AU - Malleswari S.
AU - Ujwalaprabha S.
AU - Parimala V.
AU - Medhasree M.
AU - Amrutha P.
PY - 2025
SP - 645
EP - 650
DO - 10.5220/0013918200004919
PB - SciTePress