Added #

• Initial release of Music Feature Analyzer package
• YAMNet AI model integration for instrument detection, genre classification, and mood analysis
• Advanced signal processing for tempo detection, energy analysis, and spectral features
• Comprehensive feature extraction with 20+ musical features
• Cross-platform support for iOS and Android
• Batch processing capabilities with progress callbacks
• Comprehensive documentation and examples
• Full test coverage with 5/5 tests passing
• Modern Flutter architecture with Freezed data classes
• JSON serialization support
• Detailed logging and error handling
• Resource management and cleanup

Features #

• AI-Powered Analysis: Uses Google's YAMNet model for instrument detection, genre classification, and mood analysis
• Signal Processing: Advanced DSP algorithms for tempo detection, spectral analysis, and energy calculation
• Comprehensive Features: Extracts 20+ musical features including tempo, mood, energy, instruments, and more
• High Performance: Optimized for mobile devices with efficient processing
• Cross-Platform: Works on both iOS and Android
• Easy Integration: Simple API for quick implementation

Technical Details #

• Flutter 3.0.0+ support
• Dart 3.8.1+ support
• TensorFlow Lite 0.11.0 integration
• FFmpeg 3.2.0 for audio processing
• Freezed for immutable data classes
• JSON serialization support
• Comprehensive test suite
• Zero linting errors
• Production-ready quality