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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55217

NutriScan: An Intelligent Mobile Application for Food Ingredient Analysis and Health Based Recommendation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55217

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55217

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

RDB

Rani D. Bhosale1

AHI2

Anuj H. Indulkar 2

HMK

Harshad M. Kshirsagar3

ASS

Ayan S. Sayyad4

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Abstract

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

Food safety barcode scanning nutritional analytics allergen detection recommendation system WHO guidelines.

Cite This Article

Rani D. Bhosale1, Anuj H. Indulkar 2, Harshad M. Kshirsagar3, Ayan S. Sayyad4, "NutriScan: An Intelligent Mobile Application for Food Ingredient Analysis and Health Based Recommendation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55217

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Publication Date

12/15/2025

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Double-Blind Peer Review

Review Rounds: 2

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3

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5

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

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