🚨 Illegal Mining Detection System

An AI-powered system designed to detect and monitor illegal mining activities using satellite imagery, computer vision, and machine learning techniques.
This project assists authorities and environmental agencies in identifying unauthorized mining operations and protecting natural resources.

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📌 Features

• 🛰️ Satellite image analysis
• 🤖 Machine Learning / Deep Learning-based detection
• 📍 Location-based monitoring
• 📊 Data visualization and reporting
• ⚡ Real-time or batch image processing

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🛠️ Technologies Used

• Python
• OpenCV
• TensorFlow / PyTorch
• NumPy & Pandas
• Matplotlib / Seaborn
• GIS / Satellite Imagery APIs
• FastAPI

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🚀 Getting Started

Clone the repository

git clone https://github.com/your-username/illegal-mining-detection.git

Navigate to project folder

cd mining-detection-backend

Install dependencies

pip install -r requirements.txt

Run Detection

python main.py

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📊 How It Works

1. Collect satellite imagery data
2. Preprocess and clean the dataset
3. Train ML/DL model to classify mining vs non-mining areas
4. Detect and highlight suspicious regions
5. Generate reports or alerts

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🌍 Applications

• Environmental monitoring
• Government regulatory agencies
• Forest and land protection authorities

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