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AI Disaster Damage Detection System

This project detects disaster damage by comparing pre-disaster and post-disaster satellite images using computer vision techniques.

Features

  • Damage detection using image difference
  • Damage percentage calculation
  • Damage mask visualization
  • Disaster monitoring map
  • MySQL database integration
  • Streamlit web interface

Technologies Used

  • Python
  • OpenCV
  • NumPy
  • Streamlit
  • MySQL
  • Scikit-image

Project Workflow

  1. Upload pre-disaster and post-disaster images
  2. Preprocess images
  3. Detect damage areas
  4. Calculate damage percentage
  5. Visualize results
  6. Store results in database
  7. Display results on dashboard

How to Run

Open terminal and run:

About

AI disaster damage detection system using OpenCV, Streamlit, and MySQL with interactive visualization and monitoring dashboard.

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