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.
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.
Video demo: # The Struggle: Why I Needed This # Have you ever stumbled upon a manga so niche and obscure that it never gets an official English release? That was me—desperately trying to read intimate and underrated series that weren’t even on MangaDex, likely due to copyright issues.
This project aims to provide users with a reliable solution to identify counterfeit products. Originally designed as a C2C Ecommerce Platform, the project has evolved to focus solely on counterfeit detection. The system offers two methods for users to verify product authenticity: utilizing a Teachable Machine model and employing a barcode scanner.
