Prediction Check Application

Run the Streamlit frontend

Open PowerShell in the project folder and run:

.\myenv\Scripts\Activate.ps1
streamlit run templates\home.py

Then open the local URL shown in the terminal, usually:

http://localhost:8501

Integration status

The active frontend is templates/home.py. It is directly connected to:

• models/ridge.pkl
• models/scaler.pkl

When you submit the form, Streamlit:

1. converts the selected class and region into numeric values
2. builds a dataframe in the correct feature order
3. scales the values with scaler.pkl
4. predicts FWI with ridge.pkl

Notes

• application.py is a separate Flask app and is not the frontend you should run for this setup.
• If PowerShell blocks activation, run:

Set-ExecutionPolicy -Scope Process Bypass