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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM26737
Volume:
7 |
11 |
Nov 2023
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.
This report outlines the development and implementation of a comprehensive Food Allergy and Nutrition Tracker aimed at providing individuals with a user-friendly tool to manage their dietary needs. The project focuses on addressing the challenges faced by individuals with food allergies, offering a streamlined solution to track allergens, monitor nutritional intake, and promote overall well-being. The tracker employs advanced technologies, including machine learning algorithms, to analyze dietary patterns and provide personalized recommendations. Through a user-friendly interface and robust data analysis, the tracker aims to empower users in making informed dietary choices, fostering a healthier lifestyle for those managing food allergies.
KEYWORDS
Publication Date
11/15/2023
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.
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No funding information available for this research.
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