AI-Powered Incident Reporting: Streamlining Public Safety with RAG Technology

Challenge

A public service organization sought to modernize its incident reporting process to increase speed, accuracy, and efficiency. The goal was to reduce operational costs, optimize human resources, improve citizen experience, and provide valuable, structured data for law enforcement.

Solution

The solution utilizes cutting-edge artificial intelligence, specifically Retrieval Augmented Generation (RAG) technology, to transform the reporting process. Key technologies and concepts include:

• FastAPI: A modern, high-performance Python framework for building APIs, enabling rapid development and easy maintenance with automatic documentation.
• MongoDB: A flexible and scalable NoSQL database for storing semi-structured data, like audio transcriptions and AI-generated JSON documents, handling data variation and growth efficiently.
• Deepgram: A high-accuracy AI-powered audio transcription service, ensuring quality transcriptions for accurate data capture.
• RAG (Retrieval Augmented Generation): An AI technique combining language models (LLMs) with external information retrieval (from MongoDB) to contextualize transcribed audio, improving information extraction accuracy and reducing "hallucinations."
• Docker and Docker Compose: Containerization tools for easy API and database deployment and management, ensuring solution portability and simplified container orchestration.
• LLMs (Large Language Models): Neural network-based models that understand and generate complex text, crucial for contextualizing audio and transforming it into structured JSON data for storage and system integration.

The API is designed for integration with other systems, such as incident management and data analysis platforms, and cloud services are used for scalability and reliability. The choice of LLM service can vary based on cost and needs, potentially including services from major technology companies.

Outcome

The AI-powered incident reporting solution delivers a significant advancement in modernizing public safety services. Automation of incident reporting frees up human resources for strategic activities like investigation and preventative policing. The availability of structured, accurate data facilitates trend analysis and evidence-based decision-making, leading to increased efficiency, improved citizen experiences, and enhanced public safety outcomes.