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Fintech & Banking

AI Early Warning

Run a synthetic loan portfolio through a trained risk model, inspect the highest-ranked cases, and compare forecasts with later synthetic outcomes.

AI Early Warning demo showing the portfolio overviewTry the demo

Synthetic data only. Scores support human review; the demo makes no credit decisions and contacts no customers.

How it's builtReact, TypeScript, Vite, Python, scikit-learn

Python prepares the data, trains a risk model, and exports it with the synthetic loan data. The React interface runs the model in your browser and checks that its scores match the Python version. Each score shows the factors that raised or lowered it, and past forecasts are compared with what actually happened later.

Features

AI Early Warning portfolio overview after scoring the synthetic dataset

Score the synthetic portfolio.

Run the browser analysis and inspect portfolio risk segments and the highest-risk cases selected for human review.

AI Early Warning case file showing factors that raise or lower risk and employee review controls

Understand the individual signal.

Open a fictional case to see its payment history and which factors raise or lower its risk score.

AI Early Warning model page comparing forecasts with observed synthetic outcomes

Compare forecasts with outcomes.

Review predicted risk against later synthetic events and see how the model compares with simple rules.