Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)

<Previous Article In Volume
Next Article In Volume>

Food Label Analyzer using Nutri-Score Algorithm and Content Based Filtering

Authors
S. Samundiswary1, *, Arnab Samanta1, Iliyas Shah1, Suhail Khan1
1SIES Graduate School of Technology, Nerul, Navi Mumbai, India
*Corresponding author. Email: samundiswarys@sies.edu.in
Corresponding Author
S. Samundiswary
Available Online 7 October 2025.
DOI
10.2991/978-94-6463-852-3_14How to use a DOI?
Keywords
Food labels; Nutri-Score; ML (Machine Learning); Content based filtering; Health score
Abstract

Consumers struggle to interpret food labels, leading to uninformed dietary choices that may impact long-term health. Our study addresses this issue by providing a user-friendly solution that analyses the nutritional quality of packaged foods and delivers clear, actionable insights. Using the Nutri-Score system, we assign a color-coded A-E rating based on both beneficial (fiber, protein, fruits) and harmful (sugar, saturated fat, salt) ingredients. As part of this study, we have compared Nutri-Score with the Health Star Rating to determine the most effective nutritional assessment method.

To make nutritional information more accessible, the platform enables users to retrieve key details effortlessly. Consumers can scan product barcodes to instantly access nutritional breakdowns, including ingredient compositions, potential allergens, and additives. Additionally, food label images can be analyzed to identify important details related to nutritional content. The platform also suggests healthier alternatives by comparing ingredient compositions and nutritional quality. By simplifying food label interpretation, our research aims to empower consumers to make healthier dietary choices with ease.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
Series
Advances in Intelligent Systems Research
Publication Date
7 October 2025
ISBN
978-94-6463-852-3
ISSN
1951-6851
DOI
10.2991/978-94-6463-852-3_14How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - S. Samundiswary
AU  - Arnab Samanta
AU  - Iliyas Shah
AU  - Suhail Khan
PY  - 2025
DA  - 2025/10/07
TI  - Food Label Analyzer using Nutri-Score Algorithm and Content Based Filtering
BT  - Proceedings of the MULTINOVA: First International Conference on Artificial Intelligence in Engineering, Healthcare and Sciences (ICAIEHS- 2025)
PB  - Atlantis Press
SP  - 210
EP  - 229
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-852-3_14
DO  - 10.2991/978-94-6463-852-3_14
ID  - Samundiswary2025
ER  -