Course Recommendation System

This is a web-based application that provides personalized course recommendations and suggests external courses from platforms like Coursera, Udemy, and GitHub. Users can view their recommended courses, check schedules, and access external course links directly.

Features

• Recommended Courses: Displays personalized course recommendations including course number, name, difficulty, description, schedule, and credits.
• External Courses: Provides external course recommendations from platforms such as Coursera, Udemy, and GitHub, with a "Get the link" button to access them.
• Dynamic Schedule: Shows your course schedule and allows users to view the recommended courses.
• Error Handling: Proper error handling is implemented to catch and display issues during the data fetching process.

Table of Contents

• Features
• Installation
• Usage
• Technologies
• Project Structure
• Contributing
• License

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/course-recommendation-system.git
   cd course-recommendation-system
   

2. Install dependencies: Ensure you have Node.js installed, then run:

   npm install
   

3. Run the application: To start the development server, run:

   npm start
   

   This will launch the app in development mode on http://localhost:3000.

Usage

Once the application is running:

1. View the recommended courses based on your profile. The page will show details such as the course name, description, and difficulty.
2. See your total credits for the recommended courses.
3. Browse through external course recommendations from different platforms, and use the "Get the link" button to access the course directly.
4. You can view your course schedule and dynamically add courses to it.

Error Handling

• If there are any issues with fetching data, an error message will be displayed on the page.

Technologies

The project is built using the following technologies:

• React: Frontend framework for building the UI.
• React Bootstrap: UI component library to make the design responsive and modern.
• React Big Calendar: Used to display the user’s course schedule dynamically.
• ESLint: Linting to maintain code quality.
• Node.js: Backend (if applicable) or just the environment for running the app locally.

Project Structure

course-recommendation-system/
│
├── public/                  # Public assets like index.html, favicon, etc.
│
├── src/                     # Main source code
│   ├── components/          # React components
│   ├── pages/               # Page components like RecommendationPage.js
│   ├── styles/              # CSS/SCSS styles
│   ├── App.js               # Main app component
│   ├── index.js             # Entry point for the React app
│   ├── SharedStyles.css     # Shared styles for components
│   └── RecommendationPage.js # Main course recommendation logic
│
├── package.json             # Dependencies and scripts
└── README.md                # Project documentation

Contributing

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

License

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

Built With

• amazon-web-services
• node.js
• react