Inspiration# Emergency Response Multi-Agent System

Overview

This project aims to revolutionize how 911 operators manage emergency responses during disasters. When disasters strike, emergency services are often overwhelmed with calls and messages, making it challenging to provide timely assistance to everyone in need. Our multi-agent framework helps operators prioritize, process, and dispatch resources more efficiently.

Problem Statement

During disasters, 911 operators face:

Overwhelming volume of emergency calls
Difficulty in prioritizing critical situations
Challenges in coordinating appropriate response units
Time pressure to make life-saving decisions

Our Solution

We've developed an intelligent multi-agent system that:

Continuously processes incoming emergency data
Extracts critical metadata and assigns severity scores
Visualizes incidents on an interactive map of Bloomington
Automatically dispatches appropriate response units if operator action is delayed

System Architecture

Data Processing Agent

Monitors incoming emergency data (simulated from JSON files)
Extracts metadata: emergency type, people affected, location, etc.
Assigns severity scores based on key factors
Stores processed information in MongoDB

Visualization Dashboard

Displays incidents on an interactive map of Bloomington
Aggregates similar incidents within 100 meters
Color-codes emergencies by type and severity
Provides operators with a clear visual overview of the situation

Specialized Response Agents

Three types of response agents can be automatically activated:

Fire Department Agent: Coordinates firefighting resources
Police Agent: Manages law enforcement response
Medical Agent: Organizes emergency medical services

Automatic Dispatch System

Operators have a one-minute window to assess and respond
If no action is taken within this timeframe, the system automatically:
- Analyzes the emergency context
- Identifies the nearest appropriate resources
- Dispatches the required personnel and equipment
- Executes the response plan