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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM13167

NOVEL ALGORITHM FOR NUTRITION BASED FOOD RECOMMENDATION

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-

Subject:

-

Paper ID:

IJSREM13167

Volume:

6 |

5 |

May 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SDG

Shivani D Gajjar

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Abstract

Diet consciousness is in increasing phase for people of all ages. individual eating habits are varied based on the life style and type of work.The new norm of work from home and healthy eating can not work at the same time as it has less amount of physical stress and more of mental work.It has a raised many health related issues and the diet problems.The research is proposing a new algorithm that processes on each day input of food intake and provides the suitable food plan for the next scheduled duration with machine learning and areas of artificial intelligence. out novel approach of this framework is the acknowledgement of the current diet habits and user preferences for vegetarians. The research will generate chart of users with per user BMI calculation based on collective user data to generate proper food based nutrition chart. precision, recall and accuracy are the parameters to compare the results.

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Cite This Article

Shivani D Gajjar, "NOVEL ALGORITHM FOR NUTRITION BASED FOOD RECOMMENDATION," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 5, May 2022.

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Publication Date

5/14/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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