Skip to content

Latest commit

 

History

History
72 lines (55 loc) · 2.17 KB

README.md

File metadata and controls

72 lines (55 loc) · 2.17 KB

NLP Posts Viewer

A React frontend project to display Natural Language Processing (NLP)-related posts with efficient pagination. The app fetches and presents posts from an API or dataset, providing a clean and responsive user experience.

Features

  • Paginated Display: Posts are categorized and displayed with pagination for better navigation.
  • Responsive Design: Works seamlessly on mobile, tablet, and desktop devices.
  • Efficient State Management: Handles post-fetching efficiently with React hooks.
  • Modern Styling: Styled with minimal and user-friendly UI elements.
  • Dynamic Data Fetching: Connects to backend APIs to fetch and display NLP-related posts.

Table of Contents

Technologies

This project leverages the following technologies:

  • React: Component-based architecture for building the user interface.
  • Axios/Fetch API: For making API calls and retrieving data.

Installation

Follow these steps to run the application locally:

  1. Clone the repository: 
    git clone https://github.com/softdev629/nlp-explained-frontend.git
  2. Navigate to the project folder: 
    cd nlp-explained-frontend
  3. Install the dependencies: 
    npm install
# or
yarn install
  4. Start the development server: 
    npm start
# or
yarn start
  5. The app will be available at http://localhost:3000.

Usage

  1. Browse NLP posts through paginated views.
  2. Click on individual posts for more detailed content (optional if your project supports this feature).
  3. Navigate through pages to explore more content.

Contributing

Contributions are welcome! If you'd like to contribute, please follow these steps:

  1. Fork the repository.
  2. Create a feature branch: git checkout -b feature-name
  3. Commit your changes: git commit -m 'Add some feature'
  4. Push to the branch: git push origin feature-name
  5. Submit a pull request.

License

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