Certainly! Below is the revised version of the prompt, tailored to use Python for the backend instead of Node.js, and it integrates the necessary features you described:

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Prompt for Full-Stack Web Application Development with Python Backend

Create a fully functional web-based platform using Python for the backend. The project should include a front-end, backend, database, and an integrated AI chatbot with a comprehensive training model. Each section should be fully functional and aligned with the described features.

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Technology Stack

1. Frontend: React.js with Tailwind CSS for responsive design and a user-friendly interface.
2. Backend: Python with Flask or Django as the web framework to build the RESTful API and handle application logic.
3. Database: MongoDB (or PostgreSQL) for scalable storage of admin, user, subscription, and chat data.
4. Authentication: JWT (JSON Web Tokens) for secure user and admin authentication.
5. Chatbot: GPT-based chatbot integrated with OpenAI API for question-answering functionality.
6. Hosting & Deployment: Use AWS, Heroku, or DigitalOcean for hosting the application and ensuring scalability.
7. Bot Training Model: Use uploaded documents (PDFs) for training the chatbot using fine-tuned GPT responses.

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Required Functionalities

1. Super Admin Panel

• Dashboard:

  • Display total admins (active/inactive), total end users, total subscriptions, and graphical representations of monthly income with date range selection.
  • Show lists of recently joined organizations and recent payment transactions.

• Organization Management:

  • List organizations with owner name, email ID, organization name, number of employees, subscription type, and status (active, inactive, restricted).
  • Allow editing, deleting, and adding new organizations. Include a search bar for quick access.

• Organization Details:

  • Show organization details like name, contact information, status, plan expiry date, number of employees, and uploaded documents.

• End User Management:

  • List users with details like name, email, organization name, and status. Provide search functionality for easy access.

• Purchase Management:

  • List subscriptions with owner name, type, billing cycle, amount, next payment, and status.
  • Allow creation, updating, assigning, and managing subscription plans.

• Settings:

  • Include configuration options for system settings.

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2. Admin (Owner) Panel

• User Authentication:

  • Allow admins to sign up, log in, and recover forgotten passwords.

• Dashboard:

  • Show total users (restricted, active, inactive), total bot answers (liked, disliked, failed), PDFs uploaded, QnA generated, and recently joined users.

• Chat History:

  • Display chat sessions with filters for failed, liked, and disliked answers. Include a search bar and export option.

• Edited Questions:

  • Show a list of all edited questions with edit count, last updated date, and editor. Provide re-edit and delete options, search functionality, and date range filters.

• Upload Training Documents:

  • Allow document uploads in various formats, set document privacy (protected/public), preview and download documents, and delete documents as needed.

• User Management:

  • Add new users, display user details (name, email, role, status), and edit user profiles.
  • Allow deleting users and updating roles and passwords.

• Manage Subscription:

  • Show current subscription details, billing history, and allow admins to update, cancel, or change subscription plans.

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3. End User Panel

• Chat Interaction:

  • Provide a chatbot for users to send messages, start conversations using prompt starters, view chat history, and clear chat sessions.

• FAQ:

  • Include frequently asked questions for quick reference.

• Settings:

  • Allow users to update their name, contact number, email, profile picture, and password.

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Development Requirements

Frontend Features:

• Develop a responsive, user-friendly interface with React.js and Tailwind CSS.
• Implement role-based navigation (Super Admin, Admin, and End User).
• Ensure dynamic updates for dashboards and lists using API calls.

Backend Features:

• Flask/Django Backend:

  • Set up RESTful APIs to handle CRUD operations for users, subscriptions, documents, chat history, and more.
  • Implement JWT authentication for user and admin login.
  • Use Flask or Django views to manage the application logic and connect the frontend with the database.
  • Integrate OpenAI’s GPT-based model for the chatbot, handling chat responses, document parsing, and fine-tuning.

• Bot Training Model:

  • Use document uploads (PDFs, DOCs) for training the chatbot dynamically. Process the text data from documents, and feed it to the GPT model for contextual training.
  • Implement a custom API endpoint for document uploads and bot fine-tuning.
  • Store relevant metadata like document name, privacy setting, and user organization in the database.

• Subscription and Payment Integration:

  • Implement subscription management and integrate payment systems (e.g., Stripe or PayPal) for processing payments.
  • Manage different subscription tiers and restrict access based on payment status.

Database Schema:

1. Users: Name, email, contact, role, status, password.
2. Organizations: Name, owner details, employee count, contact info, and subscription details.
3. Subscriptions: Type, owner, billing cycle, amount, and status.
4. Documents: Name, format, privacy settings, associated organization, and training status.
5. Chat History: User ID, chat session data, question-answer pairs, timestamps.

Testing & Security:

• Use Pytest or unittest for unit and integration tests.
• Ensure proper input validation and error handling.
• Use HTTPS and JWT for secure data transmission and user authentication.
• Ensure the backend is scalable, secure, and optimized for performance.

Deployment:

• Deploy the backend using AWS (EC2, Lambda, or Lightsail) or Heroku for simplicity.
• Use a CI/CD pipeline for smooth updates and maintenance.
• Host the frontend on Vercel or Netlify for optimal performance.

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This updated prompt ensures that your backend is developed using Python, leveraging Flask or Django, with seamless integration of the chatbot, document management, and subscription systems.