Movilix is a feature-rich Android app designed to provide users with an easy way to discover and download YTS movies. With Movilix, you can stay updated on the latest movies, watch trailers, and download HD movies directly using torrent functionality.
- Discover Movies: Explore the entire YTS movie collection with detailed information about each movie.
- Stay Updated: Get notified about the latest movie releases and updates.
- Watch Trailers: Preview trailers for upcoming and popular movies.
- Torrent Downloader: Download HD movies via magnet links or torrent files seamlessly.
- User-Friendly Interface: Enjoy a clean and intuitive interface with easy navigation.
- Offline Library: Access your downloaded movies anytime, even without an internet connection.
(Include screenshots of the app here for better visualization)
- Platform: Android
- Language: Java
- IDE: Android Studio
- Libraries Used:
- LibTorrent for torrent downloading.
- Glide for image loading.
- Retrofit for API calls.
- Material Design Components for UI elements.
To run the app on your local machine, follow these steps:
-
Clone the Repository:
git clone https://github.com/ziauldin123/movilix.git
-
Open in Android Studio:
- Launch Android Studio.
- Open the cloned project.
-
Build and Run:
- Ensure you have an Android device or emulator configured.
- Click on Run to build and launch the app.
-
Dependencies:
- Ensure all required libraries are installed and synced through Gradle.
- Launch the Movilix app.
- Browse through the YTS movie collection or search for your favorite movies.
- Watch trailers to preview upcoming or popular movies.
- Download HD movies using the built-in torrent downloader.
- Enjoy offline playback of your downloaded content.
Movilix does not host or store any movies or copyrighted content. The app uses torrent links to facilitate downloading movies. Users are responsible for complying with copyright laws in their respective countries.
- Add support for subtitles during playback.
- Implement cloud sync for user preferences.
- Introduce a recommendation engine based on user viewing history.
We welcome contributions! If you want to report bugs, suggest new features, or contribute code:
- Fork the repository.
- Create a new branch (
feature/your-feature-name). - Commit your changes.
- Open a pull request.
For any questions or feedback, feel free to reach out:
- Email: mziauldin2@gmail.com
- GitHub: ziauldin123
- LinkedIn: Muhammad Ziauldin
If you find this project useful, please consider giving it a ⭐ on GitHub!
This project is licensed under the MIT License. See the LICENSE file for details.