khushimaurya15/infrarisk-lab

InfraRisk Lab — Infrastructure Project Finance Risk Platform for Africa & Middle East. Features SC-PD credit model, stress testing, Monte Carlo simulation, debt structuring, and interactive dashboard. Built with Python, Streamlit, and ML models. # 🏗️ InfraRisk Lab **Infrastructure Project Finance Risk Platform — Africa & Middle East** > A dual-domain AI system combining supply chain analytics with infrastructure project finance, modelling credit risk, debt structuring, and stress testing for DFI-backed projects. --- ## 📋 Overview InfraRisk Lab is a comprehensive platform for **infrastructure project finance risk analysis**, covering 8 flagship projects across Nigeria, Kenya, Morocco, Ethiopia, Saudi Arabia, Ghana, Egypt, and the UAE. ### Key Capabilities | Module | Description | |--------|-------------| | 📊 **Portfolio Dashboard** | Live deal registry with sector & geographic concentration | | 🧮 **SC-PD Credit Model** | Supply-Chain Adjusted Probability of Default | | 💰 **Debt Structuring** | Senior / Mezzanine / Equity tranche optimizer | | ⚡ **Stress Testing** | 7 deterministic scenarios × all projects | | 🎲 **Monte Carlo** | P10/P50/P90 DSCR distribution with breach probability | | 🤖 **ML Models** | Logistic Regression + XGBoost credit classifiers | --- ## 🚀 Quick Start ### Prerequisites ```bash pip install -r requirements.txt ``` ### Run the Interactive Dashboard ```bash streamlit run streamlit_app/app.py ``` ### Generate Data ```bash cd data python generate_data.py ``` ### Run Credit Model ```bash cd models python credit_model.py ``` ### Open Notebooks ```bash jupyter notebook notebooks/ ``` --- ## 📁 Project Structure ``` infrarisk-lab/ ├── README.md ├── requirements.txt │ ├── data/ │ ├── generate_data.py # Synthetic data generator │ └── output/ │ ├── portfolio.csv # 8-project portfolio │ ├── cashflows.csv # Annual cash flow projections │ ├── risk_register.csv # Project risk registers │ └── monte_carlo.csv # Monte Carlo simulation results │ ├── models/ │ └── credit_model.py # SC-PD model + ML classifiers │ ├── notebooks/ │ ├── 01_portfolio_analysis.ipynb # Portfolio EDA & visualization │ ├── 02_credi …