- Step1: Set up the environment by installing Python and dependencies
- Step2: Prepare data files in CSV or XML formats
- Step3: Launch the backend server with `python app.py`
- Step4: Access the web UI via localhost at port 5000
- Step5: Upload data files and select analysis options
- Step6: View results, insights, and visualizations in the browser