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VITADETECT : VITAMIN DEFICIENCY DETECTION

AUTHORS:
Samruddhi Pandharkar
Snehal Thube
Anagha Nalawade
Shrawani Nasikkar
Mentor
Prof. Dinesh B. Satre
Affiliation
Dept. of Computer Engineering Marathwada Mitra Mandal’s Institute of Technology Pune,India
DOI: 10.55041/ijsmt.v2i5.447
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Abstract

In the recent years, healthcare applications have started using artificial intelligence to help find diseases early. A lot of systems try to figure out what is wrong with someone’s health. They usually need people to put in information by hand or they do not give fast and correct answers. This means it takes a time to find out about potential health problems. In this study we are talking about VitaDetect, a system that uses machine learning to find out if someone has a vitamin deficiency by using things like pictures or symptoms that the user tells us. The system uses something called the Support Vector Machine algorithm to sort out the kinds of vitamin deficiencies quickly. We chose this algorithm because it works well with amounts of information and gives us reliable answers. The system is a website that uses a trained model to make predictions away. It is made to be easy to use and add things to in the future. By thinking about what users can tell us and giving fast answers this way of doing things helps us find out about vitamin deficiencies early and makes people more aware of them. This supports decisions, about healthcare and vitamin deficiencies and healthcare and vitamin deficiencies are very important. VitaDetect and vitamin deficiencies are the focus of this study

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PUBLICATION DETAILS
Review Type:
Double-Blind Peer Review
License:
CC BY-NC 4.0
Volume/Issue:
Volume 02, Issue 6
Review Rounds:
2
Article Type:
Research Article
Publication Date:
Jun 09 2026
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Pandharkar, S., Thube, S., Nalawade, A. & Nasikkar, S. (2026). VitaDetect : Vitamin Deficiency Detection. International Journal of Science, Strategic Management and Technology, 02(6). https://doi.org/10.55041/ijsmt.v2i5.447

Pandharkar, Samruddhi, et al.. "VitaDetect : Vitamin Deficiency Detection." International Journal of Science, Strategic Management and Technology, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.447.

Pandharkar, Samruddhi,Snehal Thube,Anagha Nalawade, and Shrawani Nasikkar. "VitaDetect : Vitamin Deficiency Detection." International Journal of Science, Strategic Management and Technology 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.447.

References
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2.Chaithanya, K., Gupta, J., & Roobini, M. S. (2024, March). Vitamindeficiency detection using neural networks. In 2024 International Conference on Wireless Communications Signal Processing and Networking (WiSPNET) (pp. 1-10). IEEE.

3.Carazo, A., Macáková, K., Matoušová, K., Krčmová, L. , Protti, M., & Mladěnka, P. (2021). Vitamin A update: forms, sources, kinetics, detection, function, deficiency, therapeutic use and toxicity. Nutrients, 13(5), 1703.

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7.Eldeen, S., AitGacem, M., Alghlayini, S., Shehieb, W., & Mir, M. (2020, February). Vitamin deficiency detection using image processing and neural network. In 2020 Advances in Science and Engineering Technology International Conferences (ASET) (pp. 1-5). IEEE.

8.Mladěnka, , Macáková, K., Kujovská Krčmová, L., Javorská, L., Mrštná, K., Carazo, A., ... & OEMONOM Researchers and Collaborators. (2022). Vitamin K–sources, physiological role, kinetics, deficiency, detection, therapeutic use, and toxicity. Nutrition reviews, 80(4), 677-698.

9.Hatchell, D. L., & Sommer, A. (1984). Detection of ocular surface abnormalities in experimental vitamin A deficiency. Archives of ophthalmology, 102(9), 1389-1393.

10.J Oosterhuis, P., Niessen, R. W. L. M., Bossuyt, P. M. M., Sanders, G.T. B., & Sturk, A. (2000). Diagnostic value of the mean corpuscular volume in the detection of vitamin B12 deficiency. Scandinavian journal of clinical and laboratory investigation, 60(1), 9-18.
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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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