ZERO KNOWLEDGE PLAYGROUND

This repository dedicated to learning and practicing zero-knowledge concepts, with progress tracked through hands-on implementation using the Rust programming language.

Table of Contents

• Introduction
• Features
• Technologies Used
• Getting Started
• Usage
• Contribution Guidelines
• License

Introduction

Zero-knowledge proofs (ZKP) are a powerful cryptographic concept enabling one party to prove the validity of information without revealing the information itself. This repository serves as a training ground to understand, implement, and experiment with ZKP using the Rust programming language.

Features

• Hands-on exercises for understanding ZKP concepts.
• Implementation of zero-knowledge proof protocols in Rust.
• Progress tracking and learning resources.
• Modular codebase for experimenting with cryptographic ideas.

Technologies Used

• Rust: The primary programming language for implementations.
• Makefile: For build automation and task management.
• LLVM: Contributing to low-level optimizations.

Getting Started

Follow these steps to set up the repository locally:

1. Clone the repository:

   git clone [https://github.com/Michael-Nwachukwu/Zk-Training.git](https://github.com/Michael-Nwachukwu/Zk-Training.git)
   cd Zk-Training

2. Install Rust (if not already installed):

   curl --proto '=https' --tlsv1.2 -sSf [https://sh.rustup.rs](https://sh.rustup.rs) | sh

3. Build the project:

   make build

4. Run tests to verify setup:

   make test

Usage

The repository is structured to include various modules corresponding to different ZKP concepts. Each module comes with its own README or documentation.

1. Navigate to a specific module:

   cd modules/<module_name>

2. Run examples or exercises:

   cargo run

3. Explore and modify the code to deepen understanding.

Contribution Guidelines

We welcome contributions! To get started:

1. Fork the repository.
2. Create a new branch for your feature or bugfix.
3. Commit your changes with clear descriptions.
4. Open a pull request and provide details about your changes.

License

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