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scoring-api

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Project Overview

This project implements a Credit Scoring System for a financial company. It predicts the probability of a customer defaulting on a loan and provides transparency through local/global feature importance.

Architecture

  1. ML Model: LightGBM classification model optimized for "Business Cost".
  2. API: FastAPI endpoint serving real-time predictions and SHAP explanations.
  3. Streamlit UI: Streamlit interface for loan officers to visualize client data and scores.

Structure

├── api_model_info/  # Model data
├── streamlit_ui/    # Streamlit UI code
├── utils/           # Data fecthing tools
└── data/            # Data sample

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