Python

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.

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.

Today, I want to share my experience with you about the project I worked on during the Steam Hacks 2023 competition. Although my team did not win any major awards for this project, it was an incredible learning opportunity for me, particularly in terms of coding. Moreover, I also gained valuable insights into the collaborative process through working with my amazing new friend from Son La - Minh Chau.

It all started with a computer my mom saved from the trash heap at her office. It was a standard HP Prodesk 600 G4—nothing special, and since I already had a PC and a laptop, I had no idea what to do with it. Just installing Windows on it felt like a waste. I knew it could be something more than just another desktop collecting dust.