Non Emergency Call

Non-emergency call handling aims to improve the efficiency and effectiveness of municipal services by automating the processing of 311 calls. Current research focuses on developing automated systems that can accurately classify call types, extract key information from caller dialogue, and generate comprehensive reports, often employing machine learning models like those based on natural language processing. Successful implementation of these systems promises to reduce response times for genuine emergencies by freeing up human operators to focus on critical situations, ultimately enhancing public safety and resource allocation.