Allertify: Android-based Mobile Application for Food Allergens Identification Using Barcode Scanning and Image Recognition

Abstract

This study presents "Allertify," an Android-based mobile application designed to aid individuals with food allergies by identifying potential allergens in food products through barcode scanning and image recognition. The primary objective was to create a comprehensive and user-friendly tool to minimize the risk of allergic reactions, offering quick and accurate allergen detection. The project was motivated by the need for an accessible solution to support individuals in making safer food choices, particularly in settings where allergen exposure poses significant health risks. The application was developed using Thunkable for front-end design, incorporating interactive features, and Google Teachable Machine for training the image recognition model with a custom dataset. The app leverages barcode scanning to retrieve product information and cross-references this data with the user's predefined allergen list. It was tested within the Adventist University of the Philippines (AUP) campus, focusing on food products available in the cafeteria and store to ensure practical applicability. The findings indicate that Allertify effectively identifies potential allergens, providing users with real-time feedback on food safety. Despite challenges such as a limited food database and the requirement for internet access, the application demonstrates its potential as a valuable tool in enhancing food safety. The project contributes to the fields of health and food safety by providing an innovative, technology-driven approach to managing food allergies. Its implementation can aid individuals in making informed dietary choices, potentially reducing allergy-related health incidents.