POLICE DEPARTMENT CHATBOT FOR FIR COMPLAINTS MANAGEMENT SYSTEM

Abstract

The integration of artificial intelligence in law enforcement has evolved significantly over the past decades, aiming to enhance operational efficiency and public service delivery. Historically, police departments relied heavily on manual processes for managing First Information Reports (FIRs) and internal communications, which often led to delays and inefficiencies. Recent statistics indicate that over 60% of FIR processes in various regions are still handled manually, resulting in prolonged response times, and increased administrative burdens. Existing methods, such as traditional call centers and web-based reporting systems, suffer from drawbacks including limited accessibility, lack of real-time updates, and inadequate data management capabilities. This project introduces an innovative chatbot designed to streamline interactions within police departments and improve public engagement with law enforcement services. Utilizing Google's Dialogflow for natural language processing, the chatbot offers tailored functionalities for administrators and police officers, facilitating efficient FIR management, case monitoring, and internal communication. By leveraging advanced AI capabilities, the system ensures accurate and prompt information dissemination, thereby addressing the shortcomings of existing methods. The implementation of this chatbot not only optimizes administrative functions but also enhances the accessibility and responsiveness of police services, contributing to improved public safety and community trust.