Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{175335,
        author = {Aniket Bhand and Nilkanth Ahire and Vaibhav Jadhav and Shreyash Chavan and Sunayana Sutar and Ashwini Dhumal},
        title = {NutriCheck: Decoding Everyday Products for Optimal Living},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3075-3079},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175335},
        abstract = {In today’s world, consumers are increasingly aware of product ingredients, yet understanding these can often be daunting. This paper introduces NutriCheck, an intuitive and accessible web platform designed to bridge the gap between complex product labels and consumer understanding. By leveraging Optical Character Recognition and advanced Machine Learning (ML)models, NutriCheck enables users to upload pictures of ingredient lists, instantly converting them into readable text. NutriCheck goes beyond basic text recognition by providing detailed health reports on each ingredient, high lighting those that may pose health risks and suggesting healthier alternatives. Whether for food, personal care, or household products, NutriCheck empowers individuals to make more informed decisions about the products they use. By focusing on simplicity and trans parency, NutriCheck takes ingredient labeling to a new level, allowing everyone, regardless of technical expertise, to navigate product ingredients with confidence. This tool not only offers convenience but also encourages a healthier lifestyle, equipping users with the knowledge to make choices that positively impact their well-being.},
        keywords = {Optical Character Recognition (OCR), Machine Learning, Large Language Models (LLMs), Healthy Lifestyle, Daily Products, Product transparency, Health-conscious choices.},
        month = {April},
        }