Prabha, Nimmy and S, Anto Mervin and V, Abishek Gokul and M, Rakhul and B, Tamil Maran (2025) AI Ingredient Analyzer - Nutriknow. International Journal of Innovative Science and Research Technology, 10 (4): 25apr1126. pp. 2327-2332. ISSN 2456-2165

[thumbnail of IJISRT25APR1126.pdf] Text
IJISRT25APR1126.pdf - Published Version

Download (438kB)

Abstract

The AI Ingredient Analyzer is an advanced system that enables users to gain in-depth insights into the composition of food products. This platform employs AI-driven image processing and text recognition techniques to extract ingredient information from product labels, analyse their nutritional impact, and detect allergens or harmful substances. The system features various functionalities, including real-time ingredient analysis, product comparison, allergen detection, and alternative ingredient suggestions. Additionally, the interactive chatbot assists users with ingredient-related queries, making the tool more user-friendly and accessible. Unlike traditional systems that depend on barcode databases or deep learning models, this approach offers an efficient and lightweight solution that supports both web and mobile interfaces. By integrating AI-driven ingredient analysis and providing accurate, real-time insights, this system allows consumers to make informed dietary decisions with minimal effort.

Item Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Editor IJISRT Publication
Date Deposited: 07 May 2025 08:56
Last Modified: 07 May 2025 08:56
URI: https://eprint.ijisrt.org/id/eprint/731

Actions (login required)

View Item
View Item