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https://github.com/shubhrajps/dardoc-apple-tv

A React app replicating the navbar and navigation in the apple.com website with animations and content.
https://github.com/shubhrajps/dardoc-apple-tv

framer-motion javascript react tailwind

Last synced: 26 days ago
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A React app replicating the navbar and navigation in the apple.com website with animations and content.

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README

        

Dardoc Apple TV
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### Description
-----------

This project showcases a scrollable section that displays text and images in a visually engaging manner. As the user scrolls down, each text and image pair animates into view, providing a smooth and interactive user experience.

### Features
--------

- Displays one text and image pair at a time.
- Smooth animations for text and images as they come into view.
- Responsive design that adapts to different screen sizes.
- Utilizes Framer Motion for advanced animations and scroll detection.

### Installation
------------

1. Clone the repository:

bash

`git clone https://github.com/username/project-name.git `

2. Navigate to the project directory:

bash

`cd project-name `

3. Install dependencies:

bash

`npm install `

4. Start the development server:

bash

`npm start `

### Usage
-----

Open your browser and navigate to `http://localhost:3000` to view the project in action. Scroll down to see each text and image pair animate into view.

### Demo
------

https://github.com/user-attachments/assets/83ca4dcb-cd5f-4c6e-b123-72520ec49039

### Contributing
------------

If you would like to contribute to this project, please follow these steps:

1. Fork the repository.
2. Create a new 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. Submit a pull request.

### Credits
-------

- Developed by Shubhraj Prasad Singh.
- Inspired by modern web design principles and user experience best practices.

### License
-------

This project is licensed under the MIT License. See the [LICENSE](https://www.perplexity.ai/search/LICENSE) file for more details.