Inspiration
Every major disaster shares the same problem: information chaos.
When earthquakes, floods, wildfires, or cyclones strike, people struggle to answer simple questions:
What is happening right now?
Where is it happening?
How severe is it?
Where can I find help?
Critical information exists across many fragmented systems—government feeds, satellite data, humanitarian alerts, and news sources—but it is rarely unified into one accessible view.
We wanted to build a system that turns global disaster data into actionable intelligence.
That idea led to Disaster Dashboard— a real-time global disaster intelligence dashboard that visualizes disasters on a live map while helping people quickly find emergency resources, shelters, and helplines.
What it does
Disaster Dashboard provides a real-time global view of natural disasters and crisis events through an interactive map and live data feeds.
The platform aggregates disaster data from multiple trusted sources and presents it in a single unified interface.
Key features include:
Interactive global disaster map showing earthquakes, wildfires, floods, and storms
Live event feed that updates as new disasters are reported
Disaster filtering by type and severity
Event detail panels showing location, magnitude, time, and source data
Emergency resources layer that highlights shelters, emergency contacts, and humanitarian organizations
Crisis news feed to provide contextual updates
The goal is to make disaster information easy to understand and immediately useful for both the public and responders.
How we built it
The system is built around a real-time data pipeline and interactive visualization layer.
First, we ingest disaster data from multiple public APIs including:
USGS Earthquake API for global earthquake activity
NASA FIRMS for satellite wildfire hotspot detection
GDACS for major disaster alerts such as floods and storms
Because each data source uses different formats, we created a normalization layer that converts incoming data into a consistent structure.
This normalized data is stored and indexed in Elasticsearch, which allows us to perform fast geospatial queries and filtering across thousands of disaster events.
The frontend application renders this data on an interactive global map, allowing users to explore events visually and access additional information with a single click.
Together, these components form a real-time disaster intelligence dashboard.
Challenges we ran into
One of the biggest challenges was integrating multiple disaster data sources. Each API provides data in a different schema, format, and update frequency, which required building custom transformation logic.
Another challenge was designing a clear visualization for complex global data. With multiple disasters occurring simultaneously, we needed a way to present information without overwhelming users.
We also had to ensure that the system could handle real-time updates efficiently, while keeping the interface responsive and intuitive.
Accomplishments that we're proud of
We are proud that we were able to build a fully functioning real-time disaster monitoring platform within the limited timeframe of a hackathon.
Some accomplishments include:
Successfully integrating multiple global disaster data feeds
Building an interactive world map that visualizes live disaster events
Implementing disaster filtering and event detail views
Adding emergency resources and crisis support information
Creating a system that turns complex global data into a clear and usable dashboard
Most importantly, we created a platform that demonstrates how technology can help improve awareness and response during disasters.
What we learned
Through building Disaster Dashboard, we learned a great deal about:
Designing data pipelines for heterogeneous APIs
Using Elasticsearch for real-time search and analytics
Working with geospatial data and interactive map visualization
Structuring data to support fast filtering and live updates
We also learned how important information clarity and user experience are when presenting critical information during emergencies.
What's next for Disaster Dashboard
There are many directions this project could grow.
Future improvements could include:
AI-powered disaster severity prediction
Crowdsourced disaster reports from users
Satellite imagery integration
Offline communication tools for disaster zones
Automated emergency alerts for nearby disasters
Coordination tools for humanitarian organizations
Our long-term vision is to evolve Disaster Dashboard into a global crisis intelligence platform that helps communities prepare for, understand, and respond to disasters more effectively.
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