AI Course Generator

Overview

The AI Course Generator is a web application designed to create personalized learning paths using AI. It leverages various AI models to generate course content, including text and images, and provides functionalities for speech-to-text and text-to-speech conversions. The application is built using a combination of Python, Flask, and Next.js, and integrates with MongoDB for data storage.

Features

• Course Generation: Generate personalized courses based on user input.
• Speech-to-Text: Convert audio files to text using the Sarvam API.
• Text-to-Speech: Convert text to speech in various languages using the Sarvam API.
• Chat System: Interactive chat system for course content generation.
• Image Generation: Generate images based on text prompts.
• Translation: Translate text into different languages.

Project Structure

Backend

• Flask: Used for handling API requests and rendering templates.
• MongoDB: Used for storing course data, logs, and chat messages.
• Sarvam API: Used for speech-to-text and text-to-speech functionalities.
• Google Vertex AI: Used for generating text and images.
• Groq: Used for generating text.

Frontend

• Next.js: Used for building the user interface.
• Tailwind CSS: Used for styling the application.
• React: Used for building interactive components.

Installation

Prerequisites

• Python 3.8+
• Node.js 14+
• MongoDB

Backend Setup

1. Clone the repository:

   git clone https://github.com/Tarunroy500/ai-course-generator.git
   cd ai-course-generator

2. Create a virtual environment and activate it:

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

3. Install the required Python packages:

   pip install -r requirements.txt

4. Set up environment variables for API keys and MongoDB connection string.

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Install the required Node.js packages:

   npm install

3. Start the development server:

   npm run dev

Running the Frontend

1. Start the Next.js development server:

   npm run dev

API Endpoints

Speech-to-Text

• Description: Converts audio files to text using the Sarvam API.

Text-to-Speech

• Description: Converts text to speech using the Sarvam API.

Course Generation

• Description: Generates course content based on user input.

Frontend Components

Hero Component

• Description: Displays the main hero section of the landing page.

Dashboard

• Description: Main dashboard for creating and managing courses.

ChatBot

• Description: Interactive chat system for course content generation.

Configuration

Tailwind CSS

• Configuration File: tailwind.config.js
• CSS File: app/globals.css

Environment Variables

• MongoDB Connection String: Set the connection string for MongoDB in your environment variables.
• Sarvam API Key: Set the API key for Sarvam in your environment variables.
• Google Cloud Project ID: Set the Google Cloud Project ID in your environment variables.
• Groq API Key: Set the Groq API key in your environment variables.

Dependencies

Python Packages

• requests
• playsound
• Flask==2.0.2
• groq
• markdown
• html_to_json
• vertexai

Node.js Packages

• @clerk/nextjs
• @radix-ui/react-dialog
• @radix-ui/react-icons
• @radix-ui/react-select
• @radix-ui/react-slot
• axios
• class-variance-authority
• clsx
• lucide-react
• mongodb
• next
• react
• react-dom
• react-icons
• react-toastify
• tailwind-merge
• tailwindcss-animate

Backend Code Details

script.py

This script handles the main course generation logic, including connecting to MongoDB, generating prompts, and saving course content.

google_model.py

This script initializes and uses Google Vertex AI models for generating text and images.

groq_model.py

This script initializes and uses Groq models for generating text.

License

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

Acknowledgements

• Special thanks to the developers of the Sarvam API for providing the speech-to-text and text-to-speech functionalities.
• Thanks to the contributors of the various open-source libraries used in this project.

Contact

For any inquiries or support, please contact [[email protected], [email protected], [email protected], [email protected]].