hv7275/Algerian-Forest-Fire
Domain:
environment and energyRecord type:
software
Creator:
hv7
Host:
# Forest Fire Weather Index Prediction
This project is a Flask web app that predicts the Forest Fire Weather Index
using a trained Ridge Regression model and a saved StandardScaler.
## Project Structure
```text
.
|-- application.py
|-- requirements.txt
|-- Models/
| |-- ridge.pickle
| `-- scaler.pickle
|-- templates/
| |-- index.html
| `-- home.html
`-- notebook/
|-- Algerian_forest_clean_data.csv
`-- model_training.ipynb
```
## Requirements
- Python 3.10 or newer
- Flask
- numpy
- pandas
- scikit-learn
Install the dependencies with:
```bash
pip install -r requirements.txt
```
## Run the App
Start the Flask app with:
```bash
python application.py
```
Then open:
```text
127.0.0.1
```
## Input Features
The prediction form uses these values:
- Temperature
- RH
- Ws
- Rain
- FFMC
- DMC
- ISI
- Classes
- Region
The app scales the input data with `Models/scaler.pickle` and predicts the Fire
Weather Index with `Models/ridge.pickle`.