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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM53313
Volume:
9 |
10 |
Oct 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
People are becoming more conscious of leading healthy lives these days. People frequently follow different workout regimens and diets. That being said, not everyone can afford to consult a dietitian. Additionally, speaking with a nutritionist could take a lot of time. An expert system approach is suggested by this study to suggest a customized food plan. A recommender module within the system makes recommendations for individualized food programs based on variables including age, gender, height, weight, allergies, and personal preferences using machine algorithms. After determining the user’s BMI and BMR, it suggests a diet plan and creates a backup plan if the user is unhappy with the one that is suggested.
KEYWORDS
Publication Date
10/31/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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