Finance & Fintech

CreditLens

Demo credit default risk scoring platform with explainability, fairness diagnostics, and an underwriter dashboard.

Next.jsFastAPIFairnessMLPython
Explainable credit risk — conceptual system illustration
Explainable credit risk
How it works
Explainable credit risk: Applicant data → Model scoring → Calibration → Underwriter review

Applicant data → Model scoring → Calibration → Underwriter review

Overview

Loan risk scoring demo featuring a FastAPI model service, a Next.js underwriter dashboard, and explainability plus fairness reporting. Trains on the UCI credit default dataset and serves model metrics, cards, and applicant scoring.

Highlights

  • Training pipeline with logistic regression and random forest models.
  • Probability calibration and metrics dashboards.
  • Fairness report and model card endpoints.
  • Underwriter UI for applicants, monitoring, and model details.
  • Docker and Makefile helpers plus one-command run script.