AI-Based Consumer Mobile Application for Searching Imported Food Safety Information

Abstract

As global food trade grows ensuring the safety of imported food is crucial for consumers. This paper presents an AI powered mobile application that provides real-time safety information on imported food products. Using deep learning based image recognition and machine learning based voice recognition the application allows consumers to easily identify products and access safety details. The system's architecture supports real-time processing of image and voice data linking to a database of food safety information. Experimental results show the application effectively helps users make informed and safer food choices. This AI based solution aims to enhance consumer protection in the global food market.