AI-powered climate risk intelligence platform built with satellite radar, deep learning, and interactive geospatial analytics.
TerraCast AI is a next-generation climate intelligence system that transforms raw satellite radar imagery into actionable risk insights using deep learning and modern geospatial visualization.
It is designed to support decision-making for:
- Governments
- Insurers
- Urban planners
- Disaster response teams
- Climate resilience organizations
The platform combines Sentinel-1 radar data, U-Net-based flood segmentation, and an interactive SaaS-style dashboard to deliver real-time environmental intelligence at scale.
- 🛰 Satellite Radar Intelligence using Sentinel-1 VV polarization imagery
- 🤖 AI Flood Segmentation with U-Net deep learning models
- 🌊 Flood Risk Prediction Engine for impact estimation
- 🌍 Interactive Geospatial Dashboard for map-based analysis
- 📊 Real-Time Risk Analytics including severity and exposure insights
- ☁️ FastAPI-Powered Backend ready for deployment and integration
TerraCast AI follows an end-to-end machine learning pipeline for climate risk analysis:
The system ingests Sentinel-1 radar imagery and preprocesses geospatial tiles for analysis.
Flood segmentation masks are aligned with radar inputs for supervised learning and validation.
A trained U-Net segmentation model predicts flood-affected areas from radar imagery.
Predictions are translated into structured climate intelligence such as:
- Risk score
- Flooded hectares
- Population exposure
- Infrastructure impact
- Priority classification
Demonstrates how satellite radar data is transformed into segmentation outputs using the trained model.
Supports real-time prediction based on geographic coordinates:
- Radar tile extraction
- Model inference
- Flood mask generation
- Risk scoring
- Priority assignment
Additional prediction samples across diverse geographies are used to evaluate model robustness and consistency.
TerraCast AI includes a modern, immersive dashboard experience designed like a premium climate intelligence SaaS platform.
Features include:
- Space-inspired animated background
- Glassmorphism design system
- Strong AI product positioning
- SaaS-style call-to-action flow
Secure access layer for the intelligence dashboard.
An interactive flood analysis interface with:
- Dynamic map interaction
- Coordinate capture
- Prediction execution
- Risk visualization
Displays critical disaster intelligence including:
- Flooded hectares
- Population exposure
- Infrastructure impact
- U-Net confidence score
- Severity / priority classification
Extended climate analytics module for:
- Rainfall tracking
- Temperature monitoring
- Humidity analysis
- Risk scoring
- Economic loss projection
- Scarcity index estimation
Earthquake intelligence features include:
- Fault localization
- Magnitude classification
- Energy release estimation
- Structural loss prediction
- Supply chain disruption analytics
Prediction history system that tracks:
- Event ID
- Hazard type
- Impact score
- Location
- Timestamp
- Severity category
Frontend (React + Three.js + TailwindCSS)
↓
FastAPI ML Backend
↓
TensorFlow U-Net Model
↓
Sentinel-1 Radar Data Source
↓
Structured Climate Risk Output
## 🧪 Machine Learning Stack
- TensorFlow / Keras
- U-Net Segmentation Architecture
- Sentinel-1 Radar (VV Polarization)
- Raster preprocessing pipeline
- Geospatial tile extraction
- Risk score computation engine
---
## 📡 API Design
### `POST /predict`
#### Request
```json
{
"lat": 19.0760,
"lng": 72.8777
}
{
"risk_score": 0.88,
"hectares": 180.43,
"population_exposure": 22553,
"infrastructure_integrity": 0.35,
"priority": "Critical"
}- React
- TypeScript
- TailwindCSS
- Three.js
- Leaflet
- Responsive dashboard layout
- Glassmorphism UI panels
- Animated starfield / space-inspired interface
TerraCast AI can support a wide range of climate and disaster intelligence applications:
- Flood disaster management
- Climate risk insurance
- Urban planning and infrastructure resilience
- Agricultural monitoring
- Supply chain risk analysis
- Environmental intelligence operations
The backend can be deployed using:
- Render
- Railway
- Google Cloud Run
- Docker-based environments
python -m venv venv
venv\Scripts\activate
python -m pip install -r requirements.txt
python -m uvicorn main:app --reloadUnlike conventional static monitoring dashboards, TerraCast AI:
- Uses orbital radar satellite data
- Applies deep neural segmentation
- Produces structured risk intelligence
- Supports cross-hazard analytics
- Follows a SaaS-ready system architecture
- Is designed with production deployment in mind
- Multi-temporal change detection
- Predictive flood forecasting
- Elevation + rainfall integration
- AI confidence heatmaps
- Enterprise API access
- Satellite time-series analytics
- Global disaster monitoring dashboard
Deep Learning × Geospatial Intelligence × Modern SaaS Design
This project is licensed under the MIT License.
TerraCast AI is more than a dashboard.
It is a climate intelligence engine designed to interpret Earth’s evolving risk landscape and convert raw environmental data into meaningful, real-time decision support.