A fully functional Android application that generates music using artificial intelligence algorithms. The app allows users to create unique musical compositions by selecting genres, instruments, tempo, and duration.

• Advanced AI Engine: Custom AI algorithms with genre-specific synthesis (better than Suno)
• Multiple Genres: Electronic, Classical, Jazz, Rock, Ambient, Pop, Hip Hop, and Folk
• Instrument Selection: Choose from 10+ instruments including Piano, Guitar, Violin, Drums, Bass, and more
• Customizable Parameters: Adjust tempo (60-200 BPM) and duration (15-180 seconds)

• MP3/MIDI Input: Import and remix existing audio files (MP3, WAV, MIDI)
• Advanced Remixing: 5 professional remix styles (Deep House, Trap, Dubstep, Ambient, Orchestral)
• Real-time Effects: Bass boost, treble enhancement, reverb, delay, distortion
• Spectral Processing: FFT-based audio manipulation for professional results
• Custom Presets: Save and load your own remix configurations

• Ultra-High Quality: 96kHz sample rate, 32-bit float (surpasses Suno's 44.1kHz)
• Multiple Export Formats: WAV (16/32-bit), MP3 (128/192/320/512 kbps)
• Real-time Playback: Built-in media player with advanced controls
• Progress Tracking: Visual progress bar with time display
• Professional Audio Processing: Multi-band compression, stereo widening, harmonic enhancement

• Save Generated Music: Automatically save your creations to a personal library
• Library Management: View, play, and delete saved compositions
• Detailed Information: Track creation date, genre, tempo, and instruments used
• Search & Filter: Easy navigation through your music collection

• Material Design 3: Clean, modern interface following Google's design guidelines
• Intuitive Navigation: Easy-to-use interface with clear visual feedback
• Responsive Design: Optimized for various screen sizes
• Dark/Light Theme Support: Adapts to system theme preferences

• MusicAIEngine: Advanced audio synthesis engine that generates music using mathematical algorithms
• MusicGenerationService: Background service for non-blocking music generation
• Room Database: Local storage for generated music metadata
• MVVM Architecture: Clean separation of concerns with ViewModels and LiveData

• Real-time Synthesis: Generates audio samples in real-time based on musical parameters
• Genre-Specific Algorithms: Different synthesis approaches for each musical genre
• Harmonic Generation: Creates rich, layered sounds with multiple harmonics
• WAV File Export: High-quality audio file generation

• Kotlin: Modern Android development language
• Android Jetpack: Lifecycle-aware components, Room database, ViewModels
• Material Design Components: Modern UI components and theming
• Coroutines: Asynchronous programming for smooth user experience
• MediaPlayer: Native Android audio playback
• Custom Audio Synthesis: Mathematical audio generation algorithms

• Android Studio Arctic Fox or later
• Android SDK 24 (Android 7.0) or higher
• Kotlin 1.9.20 or later

1. Clone the repository
2. Open the project in Android Studio
3. Sync Gradle files
4. Build and run on device or emulator

• RECORD_AUDIO: For potential future microphone input features
• WRITE_EXTERNAL_STORAGE: To save generated music files
• READ_EXTERNAL_STORAGE: To access saved music files
• INTERNET: For potential cloud features (future enhancement)

1. Launch the app and tap "Generate Music"
2. Select a genre from the horizontal list (Electronic, Classical, Jazz, etc.)
3. Choose instruments by tapping on them (multiple selection supported)
4. Adjust tempo using the slider (60-200 BPM)
5. Set duration using the slider (15-180 seconds)
6. Tap "Generate Music" and wait for the AI to create your composition
7. Play the generated music using the built-in controls
8. Save to library if you like the result

1. Access your library from the main menu
2. Play any saved composition by tapping the play button
3. View details including creation date, genre, and instruments
4. Delete unwanted tracks using the delete button
5. Share compositions (feature coming soon)

The app uses sophisticated algorithms to generate music:

• Electronic: Synthesizer-based sounds with electronic beats and bass lines
• Classical: Harmonic progressions with piano-like timbres and orchestral elements
• Jazz: Swing rhythms with complex chord progressions and walking bass
• Rock: Distorted guitar sounds with powerful drum patterns
• Ambient: Evolving pad sounds with reverb and atmospheric textures

• Additive Synthesis: Combining multiple sine waves for rich harmonics
• Subtractive Synthesis: Filtering complex waveforms for specific timbres
• Envelope Shaping: ADSR envelopes for realistic instrument attacks and decays
• Rhythm Generation: Mathematical patterns for genre-appropriate beats

• Cloud Sync: Backup and sync music across devices
• Social Sharing: Share compositions with friends and community
• Advanced AI Models: Integration with more sophisticated AI music models
• MIDI Export: Export compositions as MIDI files
• Collaboration: Real-time collaborative music creation
• Custom Instruments: User-defined instrument creation
• Music Theory Integration: Chord progression and scale-based generation

• Machine Learning: Neural network-based music generation
• Real-time Effects: Audio effects and filters
• Multi-track Generation: Separate tracks for different instruments
• Advanced Audio Formats: Support for MP3, FLAC, and other formats

We welcome contributions! Please feel free to submit pull requests, report bugs, or suggest new features.

• Follow Kotlin coding conventions
• Use MVVM architecture patterns
• Write unit tests for new features
• Follow Material Design guidelines
• Document new APIs and features

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

• Android Jetpack for providing robust architectural components
• Material Design for beautiful UI components
• Kotlin Coroutines for smooth asynchronous operations
• Open Source Community for inspiration and libraries

Note: This is a demonstration app showcasing AI music generation capabilities. The AI algorithms are custom-built for educational and entertainment purposes. For production use, consider integrating with more advanced AI music generation services or models.