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Delay & Claim Intelligence — Model

Classify delay events, summarize likely responsibility signals and organize claim-supporting records without making legal determinations.

What is it trying to do?

Classify delay events, summarize likely responsibility signals and organize claim-supporting records without making legal determinations.

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.

Contract note: Outputs are research/triage aids, not legal conclusions. Verify the executed contract, records, schedule causation and applicable law.

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 ↗