PythaSpace

PythaSpace is a cutting-edge platform designed for publishing, sharing, and discovering high-quality articles and stories across various domains. It aims to foster a vibrant community of writers and readers, promoting intellectual discourse and knowledge exchange.

Overview

PythaSpace is built with a robust architecture that leverages modern web technologies to deliver an intuitive and seamless user experience. The platform is structured as follows:

• Backend: Node.js with the Express framework for handling server-side logic.
• Database: MongoDB managed with Mongoose ORM for efficient data storage and retrieval.
• Frontend: EJS for templating, Bootstrap for responsive design, and Vanilla JS for client-side functionality.
• AI Integration: OpenAI for content moderation and writing assistance.
• Additional Libraries: bcrypt for password hashing, multer for file uploads, and social-share-js for social media sharing.

The project structure includes:

• Models: Mongoose schemas for User, Article, and Comment.
• Routes: Express routes for authentication, article management, and API endpoints.
• Views: EJS templates for rendering pages.
• Public: Static files including CSS, JavaScript, and images.
• Services: Helper services for AI interactions and file uploads.
• Middleware: Authentication middleware for protecting routes.

Features

PythaSpace offers a wide range of features to enhance the user experience:

1. User Registration and Login:

   • Users can register and log in using their email and password.
   • Essential for publishing, commenting, and utilizing the AI writer helper.

2. Article Publishing:

   • Support for multimedia content (images and videos).
   • AI-powered moderation using OpenAI.
   • Articles can be saved as drafts or published directly.
   • Moderation issues are highlighted for user correction.

3. Article Organization:

   • Articles are categorized into Technology, Science, Health & Wellness, Business & Finance, Arts & Culture, and Lifestyle.
   • Tagging system for specific topics, writing styles, and content formats.

4. Commenting System:

   • Single-level comments on articles to foster discussions.

5. Social Sharing:

   • Integration with social-share-js for sharing articles on social media platforms.

6. AI Writer Helper ("Magic Helper"):

   • Provides writing suggestions based on the title and existing content.
   • Utilizes the user's OpenAI API key for generating suggestions.

Getting started

Requirements

To run PythaSpace, ensure you have the following technologies installed on your computer:

• Node.js
• MongoDB (or use a cloud version like MongoDB Atlas)

Quickstart

Follow these steps to set up and run the project:

1. Clone the repository:

   git clone <repository-url>
   cd PythaSpace

2. Install dependencies:

   npm install

3. Set up environment variables:

   • Create a .env file in the project root using the provided .env.example as a template.
   • Populate the .env file with your values (e.g., MongoDB URL, session secret).

4. Start the application:

   npm start

5. Access the application:

   • Open your browser and navigate to http://localhost:3000 to start using PythaSpace.

License

The project is open source, licensed under the MIT License. See the LICENSE.

Copyright © 2024 Pythagora-io.