This project aims to develop an online system for collecting liked-song information from various sources and providing users with analyses and recommendations based on their musical preferences. The system focuses on user interaction and personalized music choice analysis without involving music streaming.
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Basic Data Format:
- Collects song information, including track name, performer(s), album/media details, and user ratings.
- Handles challenges like multiple performers and different versions of the same song.
- User Input:
- Allows manual song input through a user-friendly web/mobile interface.
- Supports batch input via file uploads (.json).
- Permits data transfer from a self-hosted or cloud database.
- Enables users to rate non-rated songs/albums/performers and modify ratings over time.
- Statistical Information:
- Provides users with statistical insights into their preferences, filterable by date constraints.
- Tables and Charts:
- Displays tables showing how many likes the singers' songs received over time.
- Music Recommendations:
- Suggests songs based on user ratings.
- Considers temporal properties and recommends less active but highly-rated items.
- Recommends based on friendship activity.
- Authentication:
- Supports password-based authentication.
- Friends and Friendship:
- Enables users to add friends.
- Result Sharing:
- Permits sharing analysis results on social media platforms.
- Data Exporting:
- Facilitates exporting song ratings with filtering options.
Make sure you have Flutter installed on your machine.
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Clone the repository:
git clone https://github.com/Benediximuss/musicee-android.git
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Navigate to the project directory:
cd musicee-android -
Install dependencies:
flutter pub get
Ensure you have an Android emulator or a connected device.
flutter run