nineline: Emergency Incident Management System

A Next.js application for real-time emergency incident reporting, analysis, and response coordination. This system processes emergency call transcripts using AI to extract critical information about incidents and visualize them on an interactive map.

Features

• Transcript Analysis: Processes emergency call transcripts using Google's Gemini AI to extract key incident details
• Incident Classification: Automatically categorizes incidents by type and severity
• Resource Allocation: Suggests required police and firefighter units based on incident analysis
• Interactive Map: Visualizes incident locations and details on a real-time map interface
• Modern UI: Built with React 19 and styled using Tailwind CSS

Getting Started

First, run the development server:

yarn install
yarn dev

Open http://localhost:1337 in your browser to access the application.

Environment Setup

Copy the .env.example file to .env.local and fill in the required API keys:

cp .env.example .env.local

Project Structure

• /src/app: Main application pages and API routes
• /src/lib: Core functionality including AI agent for incident reporting
• /src/components: Reusable UI components
• /transcription-scripts: Sample emergency call transcripts for testing

Technologies Used

• Soniox for transcription
• Next.js 15
• React 19
• Google Gemini AI (via LangChain)
• Leaflet for map visualization
• TailwindCSS for styling
• TypeScript for type safety