Alpha One Labs Education Platform

A modern, feature-rich education platform built with Django and Tailwind CSS that enables seamless learning experiences through course creation, peer connections, study groups, and interactive forums.

Project Overview

Alpha One Labs is an education platform designed to facilitate both learning and teaching. The platform provides a comprehensive environment where educators can create and manage courses, while students can learn, collaborate, and engage with peers. With features like study groups, peer connections, and discussion forums, we aim to create a collaborative learning environment that goes beyond traditional online education.

Features

For Students

• 📚 Course enrollment and management
• 👥 Peer-to-peer connections and messaging
• 📝 Study group creation and participation
• 💬 Interactive discussion forums
• 📊 Progress tracking and analytics
• 🌙 Dark mode support
• 📱 Responsive design for all devices

For Teachers

• 📝 Course creation and management
• 📊 Student progress monitoring
• 📈 Analytics dashboard
• 📣 Marketing tools for course promotion
• 💰 Payment integration with Stripe
• 📧 Email marketing capabilities
• 🔔 Automated notifications

Technical Features

• 🔒 Secure authentication system
• 🌐 Internationalization support
• 🚀 Performance optimized
• 📦 Modular architecture
• ⚡ Real-time updates
• 🔍 Search functionality
• 🎨 Customizable UI

Tech Stack

Backend

• Python 3.10+
• Django 4.x
• Celery for async tasks
• Redis for caching
• PostgreSQL (production) / SQLite (development)

Frontend

• Tailwind CSS
• Alpine.js
• Font Awesome icons
• JavaScript (Vanilla)

Infrastructure

• Docker support
• Nginx
• Gunicorn
• SendGrid for emails
• Stripe for payments

Setup Instructions

Prerequisites

• Python 3.10 or higher
• pip or poetry for package management
• Node.js and npm (for Tailwind CSS)
• Git

Local Development Setup

1. Clone the repository

   git clone https://github.com/yourusername/education-website.git
   cd education-website

2. Set up a virtual environment

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies

   # Using pip
   pip install -r requirements.txt
   
   # Using poetry
   poetry install

4. Set up environment variables

   cp .env.sample .env
   # Edit .env with your configuration

5. Run migrations

   python manage.py migrate

6. Create a superuser

   python manage.py createsuperuser

7. Create test data

   python manage.py create_test_data

8. Run the development server

   python manage.py runserver

9. Visit http://localhost:8000 in your browser

Environment Variables Configuration

Copy .env.sample to .env and configure the variables.

Development Guidelines

Code Style

• Follow PEP 8 guidelines for Python code
• Use Black for code formatting
• Use isort for import sorting
• Follow Django's coding style guide
• Use ESLint for JavaScript code

Git Workflow

1. Create a new branch for each feature/bugfix
2. Follow conventional commits for commit messages
3. Submit pull requests for review
4. Ensure all tests pass before merging

Testing

• Write unit tests for new features
• Run tests before committing:

  python manage.py test

Pre-commit Hooks

We use pre-commit hooks to ensure code quality:

pre-commit install
pre-commit run --all-files

Documentation

• Document all new features and API endpoints
• Update README.md when adding major features
• Use docstrings for Python functions and classes
• Comment complex logic

Contributing

We welcome contributions! Please see our Contributing Guidelines for details on how to submit pull requests, report issues, and contribute to the project.

Support

If you encounter any issues or need support, please:

1. Search existing Issues
2. Create a new issue if your problem persists

Acknowledgments

• Thanks to all contributors who have helped shape this project
• Built with ❤️ by the Alpha One Labs team