Blockchain Instructor Agent

This repository provides an agent-based solution for guiding college students with basic JavaScript and blockchain knowledge on their journey to becoming proficient in blockchain development. Using CrewAI, the system includes multiple agents such as a food researcher and writer, alongside a dedicated blockchain instructor agent. The blockchain instructor focuses on creating a structured learning path, offering practical exercises, code examples, and curated resources for students.

Repository Structure

• crew/ - Contains all the scripts related to CrewAI configuration, agent setup, and tasks.
• crew.py - The main script to launch the agent-based task flow.

Features

1. Blockchain Instructor Agent - Provides guidance on blockchain fundamentals, smart contracts, and dApp development with JavaScript examples.
2. Food Researcher & Writer Agents - Also included as examples, these agents demonstrate how to gather and write content for culinary topics.
3. Modular Task and Agent Setup - Easily customizable tasks for different use cases.

Setup

Prerequisites

• Python 3.x
• Required Python packages (as listed in requirements.txt)

Installation

1. Clone this repository:

   git clone https://github.com/tusharpamnani/Blockchain-Instructor-Agent.git
   cd Blockchain-Instructor-Agent

2. Install the dependencies:

   pip install -r requirements.txt

3. Set up environment variables for API keys and other configurations as needed.

Usage

To start the CrewAI system with the blockchain instructor agent:

1. Navigate to the Blockchain-Instructor-Agent/crew directory:

   cd crew

2. Run the main script:

   python crew.py

This will initiate the CrewAI task flow with the specified agents and tasks, including the blockchain_instructor_task.

Agent and Task Overview

Blockchain Instructor Agent

The Blockchain Instructor Agent helps guide students through foundational blockchain concepts, focusing on practical JavaScript-based examples for learning smart contracts, dApps, and blockchain basics.

• Task Description: Provides a step-by-step learning path for blockchain, with code examples and project recommendations.
• Expected Output: Structured content for students to get started with blockchain development, including exercises, projects, and recommended resources.

Food Researcher and Writer Agents

Example agents to demonstrate CrewAI functionalities, focusing on researching and writing content for culinary topics.

Contributing

Contributions to improve the blockchain instructor agent or add new features are welcome! Please fork the repository, make your changes, and submit a pull request.

License

This project is licensed under the MIT License.