International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science | Volume 15 Issue 4, April 2026 | Pages: 1099 - 1103 | India


Ingresafe: Smart Guide to Safer Everyday Products

Malavika Krishnan, Rinsa Rees

Abstract: IngreSafe is an AI-powered mobile application that bridges the gap between complex product labeling and consumer health literacy, enabling users to make informed, health-conscious purchasing decisions in modern retail environments. By leveraging Optical Character Recognition (OCR), artificial intelligence, and a rule-based health impact engine, the system scans product labels from food, cosmetics, and personal care items to extract and analyze ingredient data. The application identifies harmful additives, allergens, preservatives, and controversial chemicals, then categorizes products into intuitive color-coded risk levels with clear explanations and references relevant to the Indian market. Users can scan labels, upload images, or search an integrated product database, while a Personalized Health Profile tailors warnings based on individual allergies, dietary preferences, and medical conditions. In addition, the platform provides safer alternative suggestions, smart product comparisons, and deeper ingredient insights, functioning as a comprehensive digital health labeler that promotes transparency and helps consumers choose safer products with confidence.

Keywords: IngreSafe, Ingredient Analysis, OCR-based Product Scanning, Health Risk Assessment, Food and Cosmetic Safety, Personalized Health Profile, Allergen Detection, Safer Alternatives, Smart Supermarket System, AI-powered Consumer Health

How to Cite?: Malavika Krishnan, Rinsa Rees, "Ingresafe: Smart Guide to Safer Everyday Products", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1099-1103, https://www.ijsr.net/getabstract.php?paperid=SR26419192535, DOI: https://dx.doi.org/10.21275/SR26419192535

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