ExtremeMind Studio

Empowering innovation by merging traditional technology with AI

1. About

Founded in 2023, ExtremeMind is a forward‑thinking studio committed to merging traditional software development with cutting‑edge artificial intelligence.

We specialize in building AI agents seamlessly integrated into full‑stack applications and WeChat Mini Programs, enabling businesses to unlock new levels of efficiency and user engagement.

Beyond product development, we also craft Python automation scripts and explore other innovative solutions to help our clients streamline workflows and stay ahead in a rapidly evolving digital landscape.

2. Projects

Note: For confidentiality reasons, only select open‑source projects are shared with GitHub links.

Featured Projects

Automatic Scoring System

GitHub
Overview

A full‑stack web application that streamlines exam grading through AI‑assisted answer evaluation, configurable marking rules, and role‑based access control, featuring manual review tools, Excel data integration, and detailed reporting for admins, test developers, and markers. The system is built with modern cloud-native architecture and deployed on AWS for high availability and scalability.

Core Features
  • Automated Scoring – Intelligent evaluation with flexible marking rules (case, punctuation, spelling, grammar)
  • Role‑Based Access – Dedicated dashboards for Admins, Test Developers, and Markers
  • Manual Review – Flagged answers for human validation and scoring
  • Excel Integration – Import student responses and export scored results
  • Real‑Time Reporting – Live progress tracking and performance analytics
  • Advanced Linguistic Checks – Spelling & grammar analysis for accurate scoring
  • Cloud‑Native Architecture – Built for AWS deployment with auto-scaling capabilities
Next.js TypeScript Node.js MongoDB Jest Tailwind CSS Express.js JWT AWS EC2 RDS S3

Golf E-commerce Platform

Overview

A comprehensive e-commerce platform designed for golf enthusiasts and premium lifestyle products. The system integrates modern e-commerce functionality, membership management, and personalized shopping experiences to help users discover, purchase, and manage golf-related products and services with an elegant, cloud-inspired design aesthetic. Built with cloud-native architecture leveraging AWS services for scalability, reliability, and global performance.

Core Features
  • E-commerce Shopping Platform – Complete product catalog with category navigation, search functionality, and dynamic product recommendations featuring golf equipment and lifestyle products
  • Advanced Order Management – Comprehensive order lifecycle from cart to completion, including payment processing, delivery tracking, and post-purchase review systems
  • Modern UI/UX Design – Cloud-inspired visual design with glassmorphism effects, responsive layouts, and intuitive navigation optimized for mobile shopping experiences
  • Multi-platform Integration – Seamless integration with mobile ecosystem, secure JWT authentication, and comprehensive backend API support for scalable e-commerce operations
  • AWS Cloud Infrastructure – Leverages Amazon S3 for product image storage and CDN distribution, AWS Lambda for serverless backend processing, and Amazon RDS for scalable database management, ensuring high availability and global performance optimization
  • Technical Architecture – Built with React.js hooks and functional components, uni-app cross-platform framework, Spring Boot backend with JWT authentication, MySQL database with MyBatis ORM, and RESTful API design patterns for scalable microservices architecture
Java Spring Boot JUnit TypeScript React MySQL JWT Vite Node.js AWS S3 Lambda RDS Docker RESTful APIs

Python automation scripts

An intelligent automation solution that combines Android Studio's mobile emulator with custom Python scripts to streamline high‑frequency purchasing tasks.

The bot monitors product availability in real time within a mobile shopping app and automatically completes the checkout process based on predefined conditions.

This project helps businesses and individuals save time, reduce manual effort, and improve efficiency in competitive purchasing scenarios.

Python Android Studio UIAutomator

Other Projects

AI Agent Business Management Platform

A comprehensive WeChat Mini Program platform designed for intelligent relationship management and networking. The system integrates AI-powered evaluation, connection matching, idea marketplace, and conversation management to help users build and maintain valuable professional relationships.

Java Spring Boot JUnit TypeScript React RESTful API JWT MySQL

Office Automation (OA) System

GitHub

A modern, feature-rich Office Automation (OA) system built with Vue 3, TypeScript, and Element Plus. This system provides comprehensive workflow management, approval processes, and administrative tools for enterprise collaboration.

TypeScript Node.js JSON RESTful API Vue.js

Student Management System Based on .NET

GitHub

A comprehensive student information management system developed using C# and .NET Framework. This system streamlines data processing and management in educational institutions, ensuring efficient handling of student records, course management, and academic performance tracking.

C# ASP.NET SQL Server JavaScript

Lifestyle and Mood Management App Based on Android Studio

GitHub

A comprehensive Android application built with Java and Android Studio for tracking daily habits, mood patterns, and personal diary entries. The app provides users with tools to monitor their lifestyle habits, record their emotional states, and maintain a personal diary with location tracking and media attachments.

Java Android Studio Firebase Google Maps API JUnit

Lightweight Linux Web Server

GitHub

A high-performance, event-driven web server implemented in C++ for Linux systems. This server uses the Proactor concurrency model to handle thousands of concurrent connections efficiently.

C++ Linux HTTP TCP/IP

Melbourne Journey - Interactive Map Application

GitHub

Melbourne Journey is an interactive web-based mapping application that provides users with a comprehensive guide to explore Melbourne, Australia. The application features an interactive map with various points of interest categorized into entertainment, accommodation, dining, and transportation options.

HTML5 CSS3 JavaScript Mapbox Tableau IntelliJ IDEA

2048 Game Based on Qt

GitHub

A Qt/C++ implementation of the popular 2048 puzzle game. This project provides a complete desktop application with a graphical user interface built using Qt framework.

C++ Qt qmake

3. Contact us

Email: fengyu823@gmail.com