BardiGit/Loan_Default_Project

Predicting Loan Default Risk in Nigeria Using Machine Learning and Macroeconomic Indicators # Loan Default Prediction API A production-ready machine learning API built with **FastAPI** that predicts the likelihood of a borrower defaulting on a loan using a **Random Forest Classifier**. ## 🚀 Live Demo The API backend is securely hosted live on Render: Live API Interactive Documentation ## 🛠️ Tech Stack * **Framework:** FastAPI / Uvicorn * **Machine Learning:** Scikit-Learn (Random Forest) * **Data Handling:** Pandas, NumPy * **Deployment:** Render Cloud Platform ## 📦 How to Test the Live API 1. Navigate to the live link above to access the interactive Swagger UI. 2. Expand your prediction endpoint route. 3. Click **"Try it out"**, fill in your sample borrower profile details, and hit **"Execute"** to see live model responses!