AI-Based Emergency Sound Recognition System Development

This coursework explores AI-driven solutions to address hearing loss challenges, focusing on emergency sound differentiation using advanced architectural designs. It combines a mixed-methods approach with a two-layer CNN model to achieve robust detection and context-awareness, validated by high accuracy rates (94% sound detection, 98.3% environmental classification). The study identifies accessibility gaps and proposes future developments in multi-modal inputs, personalized AI learning, and...