Yashhh14/Mining_project

Coal Mining Safety Prediction

This app predicts whether the coal mining environment is Safe or Unsafe based on input parameters. It uses a trained machine learning model with a Gradio-based user interface.

🚀 Features

• —Easy-to-Use Interface: Input the mining parameters and get instant feedback.
• —Real-Time Prediction: The app classifies the mining environment as Safe or Unsafe.

⚙️ How to Use

1. 1.Enter the following parameters:
2. 2.Sub Level: Value for sub-level of the mine.
3. 3.Supra Level: Value for supra-level of the mine.
4. 4.Particle Count: Number of particles in the air.
5. 5.Analyzed Area: The area analyzed in the mine.
6. 6.Loading Density: Loading density of the mine.
7. 7.Abundance: Abundance of material in the mine.

1. 1.Click Submit to get a prediction of Safe or Unsafe.

📄 Inputs

🧪 How It Works

The model uses engineered features like Risk Index, Normalized Levels, and Air Quality Score to predict the safety of the mining environment.

📚 Requirements

• —gradio
• —scikit-learn
• —numpy
• —joblib
• —pandas

🌐 Live Demo

Once deployed, a live link will be provided.