SAFE BITE: A Context-Aware AI Platform for Fruit Contamination Risk Assessment

Abstract

Safe Bite is a mobile-based health monitoring system designed to prevent the spread of zoonotic diseases caused by contaminated fruits, particularly those affected by bat bites. The system leverages artificial intelligence and computer vision techniques to analyze fruit images captured via a smartphone camera and detect potential contamination. A risk fusion algorithm integrates image-based predictions, geospatial clustering, and crowd-sourced reports to generate a reliable risk score. Based on this score, the system delivers real-time alerts to users and health authorities, enabling rapid response and early outbreak detection. Safe Bite functions as an intelligent early warning system aimed at reducing public health risks and enhancing community awareness.