GeoDamage AI is a web-based application for automated disaster damage assessment using pre-disaster and post-disaster satellite imagery.
The system combines a Vite + React frontend with a FastAPI backend powered by deep learning to generate pixel-level damage heatmaps.

• Dual Image Analysis (Pre & Post Disaster)
  Upload pre-disaster and post-disaster satellite images for change-based damage assessment.

• Transformer-Based Damage Segmentation
  Uses a Vision Transformer (ViT) + U-Net model to perform accurate, pixel-level damage detection.

• Interactive Web Interface
  Clean and responsive frontend built with Vite + React for visualizing damage results.

1. Clone the repository

   git clone https://github.com/Shreyashofficial05/GeoDamage-AI.git
   cd GeoDamage-AI

2. Set up the backend (FastAPI)

   cd backend
   pip install -r requirements.txt

3. Run the backend server

   python backend.py

4. Set up the frontend (Vite + React)

   cd frontend
   npm install

5. Run the frontend

   npm run dev

6. Open the application

   [npm run dev](http://localhost:5173)

• best_model.pth — PyTorch ViT-UNet Model

📁 Make sure both model files are located in the backend/ directory before starting the backend.