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Paper Title : Vitamin Deficiency and Food Recommendation System Using Machine Learning

ISSN : 2395-1303
Year of Publication : 2022
10.5281/zenodo.7263457

Authors: D. Srivalli , B. Sathwika ,A. Tejaswini, A. Varsha

         


Abstract
According to a WHO study, inadequate and inadequate food consumption is to blame for 14% of colon cancer deaths, 11% of deaths from ischemic heart disease, and 9% of deaths from heart conditions worldwide. Additionally, between 0.25 billion and 0.7 billion people worldwide experience iodine deficiency, 0.2 billion adults experience iron deficiency , and 0.25 billion children experience various vitamin deficiencies ranging from A to K. This project's main objective is to recommend a diet to various people. The dataset's enormous volume of data must be handled by the proposed framework.

Reference
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Keywords
— Vitamin Deficiency and Food Recommendation System Using Machine Learning