Nneji123

Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker. Maintained by Nneji123 on GitHub, where it has earned 60 stars from the community.

This repository contains instructions, template source code and examples on how to serve/deploy machine learning models using various frameworks and applications such as Docker, Flask, FastAPI, BentoML, Streamlit, MLflow and even code on how to deploy your machine learning model as an android app. Maintained by Nneji123 on GitHub, where it has earned 53 stars from the community.

This project demonstrates the integration of FastAPI, SQLModel, PostgreSQL, Redis, Next.js, Docker, and Docker Compose, showcasing essential API features like rate limiting, pagination, logging, and metrics using Prometheus and Grafana. Maintained by Nneji123 on GitHub, where it has earned 40 stars from the community.