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Welcome to Zero's Profile! Waving hand

About Me

Hi, I'm Thang, my full name is Nguyen Huu Thang. I'm a student at Ho Chi Minh City University of Industry and Trade (HUIT), currently diving deep into the world of software development.

  • I'm currently studying Information Technology at HUIT.
  • I’m looking to collaborate on open-source projects, web development projects, training model data.
  • I’m looking for help with advanced Docker concepts, machine learning algorithms.
  • How to reach me: [email protected]

Tech Stack & Tools

  • Languages: HTML, CSS, JavaScript, Python, C, C++, C#, SQL, TypeScript
  • Frameworks/Libraries: Node.js, Nest.js, React
  • Databases: PostgreSQL, MongoDB, SQL Server
  • Tools: Git, GitHub, VS Code, Figma
  • Cloud/DevOps: Docker, Google Console

Projects

Here are some of the projects I've worked on. More details in their respective repositories!

Customer-emotion-recognition: - technology that helps businesses automatically understand customer feelings.

Tech Stack: Nest.js, React, Python, TypeScript, JavaScript

John Henry Fashion: - Web programming course project. Clone and upgrade features.

Tech Stack: ASP .NET Core 9.0, Bootstrap, PostgreSQL, Redis, JQuery


ALL REPOSITORIES

GitHub Stats & Activity

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Profile Views Count

Thank you for visiting my profile! Feel free to connect. Let's build something amazing together!

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  1. Customer-emotion-recognitionCustomer-emotion-recognitionPublic

    Customer emotion recognition is technology that helps businesses automatically understand customer feelings.

    TypeScript 5 2

  2. Mom-baby-shopMom-baby-shopPublic

    Mom & Baby Shop Management App – features product search, cart system, user profile, and category management.

    TypeScript 3

  3. John-Henry-FashionJohn-Henry-FashionPublic

    JohnHenry/Freelancer - Web programming course project. Clone and upgrade features

    HTML 4

  4. Skincancer_classificationSkincancer_classificationPublic

    AI-powered skin cancer detection system using HybridViT (CNN + Vision Transformer). Classifies 9 types of skin lesions with 90%+ accuracy. Professional Streamlit web app with intuitive interface.

    Jupyter Notebook 2