Objective:

To develop an interactive and data-driven dashboard that provides real-time and historical insights into natural disasters (e.g., earthquakes, floods, wildfires), helping authorities, NGOs, and citizens make informed decisions for disaster preparedness, response, and recovery.

Technologies Used:

• Frontend: HTML, CSS, Bootstrap, JavaScript (with Chart.js, Leaflet.js or D3.js for maps)

• Backend: Node.js / PHP / Java

• Database: MySQL / MongoDB

• APIs & Data Sources: USGS, NASA FIRMS, OpenWeatherMap, ReliefWeb, etc.

• Optional AI/ML: Python-based ML model to forecast risk levels or disaster likelihood

• Geospatial Visualization: Google Maps API / Leaflet.js

Key Features:

1. Real-Time Disaster Alerts:

   • Integrate with public APIs for live updates on earthquakes, floods, wildfires, etc.

   • Visualize active disasters on an interactive map.

2. Historical Data Analytics:

   • Analyze past disaster occurrences (location, scale, duration).

   • Visual graphs for trends over time (e.g., rise in flood events in a region).

3. Disaster Type Filtering:

   • Filter insights by type (earthquake, cyclone, fire, drought).

   • Show stats like frequency, impact radius, affected population.

4. Risk Zone Mapping:

   • Highlight high-risk zones based on historical and environmental data.

   • Optionally use ML to predict high-risk areas.

5. Relief Center & Shelter Mapping:

   • Map locations of emergency shelters, hospitals, and support centers.

   • Link them with directions and capacity info.

6. Early Warning Integration (Optional):

   • Weather and seismic forecasts for early alerts.

   • Use AI to correlate weather and geological patterns for risk scoring.

7. Admin Panel:

   • Backend dashboard for disaster management officials to upload local reports, photos, and updates.

   • Push notifications to users in affected areas.