AI-Powered Ingredient Detector for Allergies: Enhancing Food Safety Through Natural Language Processing and Computer Vision

Food allergies pose a significant health risk, affecting millions worldwide and potentially leading to severe reactions, including anaphylaxis. Identifying allergens in food products is crucial for individuals with allergies. However, the increasing complexity of food labeling and hidden allergens makes this process challenging, time-consuming, and error-prone. This paper presents the AI-powered Ingredient Detector for Allergies, an innovative application designed to streamline allergen detection using Artificial Intelligence (AI). The system enables users to input a food item, scan a barcode, or upload an image for ingredient analysis. By leveraging Natural Language Processing (NLP) and computer vision, it accurately identifies potential allergens and provides real-time alerts. This application is integrated with a comprehensive allergen database, which ensures precise detection and enhances food safety. By offering a user-friendly, intelligent, and efficient solution, this AI-driven system empowers individuals with food allergies to make informed dietary choices confidently and efficiently.