snore_detection 0.2.0 
snore_detection: ^0.2.0 copied to clipboard
Real-time and file-based snoring detection using TensorFlow Lite. Simple API for audio classification with configurable thresholds.
0.2.0 #
- Update package dependencies to latest compatible releases (path_provider ^2.1.5, permission_handler ^12.0.1, fftea ^1.5.0)
- Adopt flutter_lints 6.0.0 for updated lint rules
0.1.0 #
- Initial release of Flutter Snore Detection package
- Real-time snoring detection from device microphone
- File-based detection for analyzing pre-recorded audio
- Quantized TensorFlow Lite model (214KB) for efficient on-device inference
- Configurable confidence thresholds to reduce false positives
- Stream-based API for live detection results
- Cross-platform support (iOS and Android)
- Comprehensive API documentation with examples
- Unit tests for core functionality
- Example app demonstrating live and file detection
Metadata
0
likes
160
points
286
downloads
Publisher
unverified uploader
Weekly Downloads
Metadata
Real-time and file-based snoring detection using TensorFlow Lite. Simple API for audio classification with configurable thresholds.
Repository (GitHub)
View/report issues
Topics
#snoring #audio #machine-learning #tflite #audio-classification
Documentation
License
MIT (license)
Dependencies
fftea, flutter, path_provider, permission_handler, record, tflite_flutter
