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🚀 Hanry3 Repository - Project 2024

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A brief, catchy description of your project goes here! For example: This repository contains a collection of diverse projects utilizing various technologies and tools. Each project showcases different skills in both frontend and backend development.

🔑 Key Projects

Project 2024 is a fast, lightweight, and highly customizable tool designed to make easier, faster, and better.

💪 Features

  • 🔥 High performance with modern design
  • 💡 Easy to use interface and powerful tools
  • 🚀 Fast and efficient code execution
  • ⚙️ Customizable and extendable to fit any use case
  • 🛠️ Cross-platform support for Windows, macOS, and Linux

Feel free to explore the repositories to check out these projects and more!

🛠️ Projects Included:

  • Animated-Login-Form: A stylish login form with animations, built using HTML, CSS, and JavaScript.
  • Calculator: A simple calculator application developed with HTML, CSS, and JavaScript.
  • Card Hover Effect: A project demonstrating hover effects on cards, built with HTML, CSS, and JavaScript.
  • GO: A project using the Go programming language for backend functionality or concurrent operations.
  • Game: A basic game implemented using JavaScript.
  • Jarvis-AI: An AI assistant prototype created with JavaScript or any other AI/ML integration tools.
  • Login Form: Another login form project focusing on frontend development using HTML, CSS, and JavaScript.
  • Rust: A project built using the Rust programming language to ensure memory safety and performance.
  • TODO App: A task management app developed with HTML, CSS, and JavaScript.
  • Typescript: A project using TypeScript for enhanced type safety in JavaScript.
  • Cpp: A project developed with C++ focusing on performance and system-level programming.
  • Pepsi Product Card: A product card built with HTML, CSS, and JavaScript, showcasing a detailed product layout.

🚀 Technology Stack (2024):

  • Frontend: HTML, CSS, JavaScript, TypeScript, Tailwind CSS
  • Backend: Go, Rust, C++
  • Other Tools: AI/ML integration (for Jarvis AI), Rust (for performance-focused applications)

⚙️ Setup & Installation

  1. Clone the repository:
    git clone https://github.com/username/repository.git
  2. Nevigate to the Project folder of your choice
    cd project-folder
  1. Follow the specific instruction in the folder's README (if available) to run or contribute to the project

📄 License

This repository is licensed under the MIT License. See the LICENSE file for more details.

🤝 Contribution

Contributions are welcome! Feel free to submit issues or create pull requests to help improve this repository. Follow the contribution guidelines outlined in the contributing file (if available).

📫 Contact

For any queries or collaboration, reach via commment or email

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