Adaptive Learning Platform

Overview

The Adaptive Learning Platform is an AI-powered educational system that tailors learning content based on user performance. This platform dynamically adjusts difficulty levels, recommends personalized resources, and provides real-time analytics to enhance the learning experience.

Features

• AI-driven content recommendations
• User performance tracking
• Dynamic difficulty adjustment
• Real-time analytics and insights
• Scalable and modular architecture

Tech Stack

• Frontend: Next.js, Tailwind CSS
• Backend: Next JS, Prisma ORM, Google Gemini
• Database: PostgreSQL
• Containerization: Docker, Docker Compose
• State Management: Recoil
• Authentication: NextAuth.js (JWT-based authentication)

Setup Instructions

Follow these steps to set up the project locally:

1. Fork and Clone the Repository

# Fork the repository on GitHub
# Clone the forked repository
git clone https://github.com/YOUR_GITHUB_USERNAME/adaptive-learning-platform.git
cd adaptive-learning-platform

2. Fill Up the .env File

Create a .env file in the root directory and provide the required environment variables. A sample .env.example is available for reference.

3. Install Docker Desktop and Run Docker Compose

Ensure Docker Desktop is installed and running, then execute:

docker compose up

This will set up the database and other necessary services.

4. Install Dependencies

npm install

5. Run Prisma Migrations

npx prisma migrate dev

This applies the latest database migrations.

6. Start the Development Server

npm run dev

The application will be available at http://localhost:3000/.

Contributing

1. Fork the repository.
2. Create a new feature branch (git checkout -b feature-branch).
3. Commit your changes (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Open a Pull Request.

License

This project is licensed under the MIT License.