Real-Time Disaster Alert & Supply Chain Routing System

This project is a real-time, geospatial disaster-aware routing system that detects natural disasters (earthquakes via USGS) and dynamically reroutes supply chains on an interactive map.

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Features

• Live Earthquake Data from USGS GeoJSON API
• Folium-based Interactive Map with node + route visualization
• Auto-built Supply Chain Graph from CSV input
• Disaster Zone Detection (geopy + proximity radius)
• Shortest & Safest Route Calculation using Dijkstra’s Algorithm
• CSV-Driven Scalability (plug-and-play new nodes)
• Offline HTML Map Output to visualize affected paths

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Project Structure

Real-Time-Disaster-Routing/
├── disaster_supply_chain.py         # Main Python logic
├── supply_nodes.csv                 # Warehouse/delivery nodes
├── disaster_supply_chain_map.html  # Generated output map
├── requirements.txt                 # Pip dependencies
└── README.md                        # You're reading this!

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Setup Instructions

1. Clone the repo or download the folder
2. Install dependencies:

pip install -r requirements.txt

3. Run the script:

python disaster_supply_chain.py

4. Open the map:

open disaster_supply_chain_map.html

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How It Works

1. Reads supply_nodes.csv and maps each node with lat/lon
2. Builds a graph by connecting nodes that are within 600km
3. Pulls earthquake data from the past 24 hours via USGS API
4. Flags any supply chain node within 200km of a disaster
5. Computes the shortest or safest path from source to destination
6. Saves and displays everything in an interactive Folium map

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Screenshots

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Future Ideas

• Add wildfire/flood detection via NASA/NOAA
• Deploy as Streamlit dashboard
• Add Kafka or database ingestion
• Visualize severity zones based on disaster magnitude

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Built By

Raghuram Gopal Ganta
Data Engineering | Florida Atlantic University | Class of 2025