Vitamin Deficiency Detection Using Image Processing and Neural Network

Authors

  • Abhijit Ashok Hipparkar Member, Computer Engineering Department, College of Engineering, Phaltan, Maharashtra, India

Keywords:

Artificial Intelligence, Deep Learning, Intelligent System.

Abstract

Vitamins are an important part of our diets. So that our diets need to contain vitamins. A deficiency will develop if the right number of vitamins aren't consumed. In this study, this project introduces an artificial intelligence (AI) system for early vitamin insufficiency diagnosis. It is a free desktop application that uses the user's images of their eyes, lips, tongue, and nails to identify vitamin deficiencies instead of blood samples. The application will give users a report on any vitamin deficiencies they may have along with recommendations for the right foods to increase their vitamin intake and fend off deficiencies. The software is trained to differentiate between images of healthy people's eyes, lips, tongue, and nails and those of those who are vitamin deficient. Early identification of vitamin deficiencies can stop serious problems like anemia, infectious illness deaths, maternal or perinatal deaths, cognitive and physical development problems. Key Words: Deficiency, NLP, Fuzzy Membership Function, Vitamins, AI, Desktop Application, and Defuzzification. Extensive trials on a real-world dataset show that the suggested method is more successful and efficient than previous methods.

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Published

2023-07-15

Issue

2023: NCETSAE - July

Section

Articles

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How to Cite

Abhijit Ashok Hipparkar. (2023). Vitamin Deficiency Detection Using Image Processing and Neural Network. International Journal of Innovations in Engineering Research and Technology, 106-112. https://repo.ijiert.org/index.php/ijiert/article/view/3722