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Financial Risk Project 🚀

A FastAPI-based service for financial risk classification using machine learning models.

Features

  • FastAPI REST endpoints for model inference
  • Option to load model from local file or MLflow
  • Trained with Random Forest ( and XGBoost, in process)
  • Containerized with Docker for deployment
  • Render deployed at https://financial-risk-project.onrender.com/docs

🧠 Model Loading Logic

You can choose between:

  • Local model (default)
  • MLflow-logged model

This is controlled by environment variables:

LOAD_MLFLOW=true
MLFLOW_RUN_ID=<your_run_id>

About

My first try to deploy a ML model

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