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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55217
Volume:
9 |
12 |
Dec 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.
Consumers often face difficulty understanding food labels filled with hidden ingredients, chemical additives, and allergens that may negatively affect health. Limited nutritional awareness can lead to the unintentional intake of harmful substances, increasing the risk of chronic diseases such as diabetes, obesity, and hypertension. This paper presents NutriScan, an Android-based intelligent application designed to simplify food evaluation for consumers. The system scans packaged food items using barcode or QR code recognition and extracts ingredient details. These ingredients are analyzed based on WHO guidelines and data from FoodData Central to generate a color-coded alert system that categorizes components as safe, moderate, or harmful. NutriScan also identifies potential allergens, calculates a nutritional score (A–E) using macro- and micro-nutrient analysis, and offers personalized dietary recommendations based on the user’s health conditions. The proposed solution enhances consumer awareness, promotes healthier food choices, and supports informed decision-making in daily life.
KEYWORDS
Publication Date
12/15/2025
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.
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