This repository contains a complete end-to-end system for real-time credit card fraud detection, including data analysis notebooks, a machine learning API, and infrastructure-as-code for cloud deployment. The system is designed with a modern, observable, and scalable architecture.
This project is a comprehensive platform for managing, processing, and displaying ArXiv research papers. It combines a Hugo static site with a powerful backend of containerized services for AI-driven PDF processing, metadata extraction, and ArXiv interaction.
In the previous parts of this series, we went from a single hand-me-down PC to a full 3-node cluster, and then we installed Proxmox as our hypervisor. We even managed to pass through a GPU to a VM for near-native performance.
This is my story of how I attempt to build an AI-powered pipeline for ArXiv papers. It was a journey that started with a cool idea about AI agents and ended with me wrestling Docker, n8n, and Python into submission.