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Finance · Classification / anomaly analysis

Invoice & Payment Intelligence — Model

Estimate payment-delay risk and highlight invoice attributes associated with delayed processing.

What is it trying to do?

Estimate payment-delay risk and highlight invoice attributes associated with delayed processing.

How?

The project loads the bundled synthetic CSV, applies a transparent baseline analytical method, and presents outputs in a Streamlit interface. The purpose is to teach the workflow before a user substitutes authorized real data.

How to run it

  1. Download the project ZIP.
  2. Extract it.
  3. Install Python 3.
  4. Open Command Prompt/Terminal in the extracted folder.
  5. Run pip install -r requirements.txt.
  6. Run streamlit run app.py.
  7. Open the local URL displayed by Streamlit.
Download project ZIP ↓ Download synthetic dataset ↓ Read tutorial ↗