AI Course Generator

This repository contains the source code for an AI-powered course generator application. Users can input their data, preview the course structure as they fill it, and generate professional course outlines. Additionally, the application includes features such as AI-generated summaries, data storage, and management through Neon Postgres, and an integrated AI chatbot for assistance.

Live Site

You can access the live application here. coursesgen.vercel.app

Table of Contents

• Introduction
• Features
• Technologies Used
• Getting Started
• Contributing
• License

Features

• Interactive Form Section: Users can fill in their personal, educational, and professional details in an intuitive form.
• Live Preview: A real-time preview of the course is displayed as users input their data.
• AI-Powered Summary Generator: Integrated AI generates a professional summary for the user’s course based on the provided information.
• Course Management: Users can download, share, delete, or edit their courses at any time.
• Data Storage: User data is securely stored in Neon Postgres, ensuring seamless access and management.
• Strapi Backend: The application uses Strapi to connect the frontend with the Neon Postgres database.
• AI Chatbot: An AI chatbot powered by Gemini is available to assist users with any questions or guidance.

Technologies Used

Frontend:

• React.js
• Next.js
• Tailwind CSS
• Shadcn UI components

Backend:

• Clerk for authentication and authorization
• drizzle for postgreSQL
• Gemini API for natural language processing

Other:

• Next.js for routing
• React Icons for UI elements

Getting Started

Prerequisites

• Node.js (v18 or higher)
• npm or yarn
• Neon Postgres account
• drizzle connected to Neon Postgres

Steps to Set Up the Project

1. Clone the Repository:

   git clone https://github.com/adarshpheonix2810/Ai-Course-Generator.git
   cd Ai-Course-Generator

2. Install Dependencies: Run the following command to install all the required dependencies:

   npm install

3. Set Up Environment Variables: Create a .env.local file in the root directory and add the following:

NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=ck_live_1234567890 CLERK_SECRET_KEY=sk_live_1234567890 NEXT_PUBLIC_CLERK_SIGN_IN_URL=/sign-in NEXT_PUBLIC_CLERK_SIGN_UP_URL=/sign-up NEXT_PUBLIC_GEMINI_API_KEY=your-gemini-api-key NEXT_PUBLIC_DB_CONNECTION_STRING=postgresql://username:password@host:port/database?sslmode=require NEXT_PUBLIC_FIREBASE_API_KEY=your-firebase-api-key NEXT_PUBLIC_YOUTUBE_API_KEY=your-youtube-api-key NEXT_PUBLIC_HOST_NAME=http://localhost:3000

Replace the placeholders with your actual credentials.
4. **Set Up Environment Variables**: Create a `.env` file in the root directory and add the following:


Replace the placeholders with your actual credentials.
5. **Run the Development Server**: Start the application in development mode:
```bash
npm run dev

The application will be accessible at http://localhost:5173. 6. Build for Production: To create an optimized production build:

npm run build

7. Preview Production Build: To preview the production build locally:

   npm run preview

Backend Setup

1. Set Up Strapi:
   • Install and configure drizzle.
   • Connect it to your Neon Postgres database.
   • Create the necessary APIs and endpoints to handle user data.
2. Deploy Strapi: Deploy Strapi on a platform of your choice (e.g., Heroku, Vercel, or your own server).

Additional Configuration

• AI Chatbot: Ensure the Gemini API is correctly integrated by providing your API key in the .env file.
• Payment Gateways: Set up Razorpay and PayPal with the provided API keys in the .env file.

Contributing

Contributions are welcome! Please fork the repository and create a pull request with your changes. Ensure that your code adheres to the project’s coding standards.

License

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