OCR and NLP based Personalized Allergen Notifying System

Abstract

This project focuses on developing a personalized allergen notification system to help individuals identify potential allergens in food products based on their dietary preferences and known allergens. A key feature of this system is Optical Character Recognition (OCR), which enables users to scan ingredient lists directly from product packaging. The OCR technology extracts text from images of ingredients, which is then processed using natural language processing (NLP) and machine learning algorithms to compare the extracted text against the user's allergen profile. The system provides real-time notifications of potential allergens, offering an efficient and portable solution for allergen detection and food safety. Keywords: Food Allergy Detection, OCR, NLP, Personalized Allergen Notification, Machine Learning