aliveness 1.0.1

A Flutter package for face liveness detection — verifies that a user is a real, live person by guiding them through a sequence of randomized facial expression challenges captured via the front camera.

1.0.1

• Improved README: added Dependencies table, Assets setup guide, and expression detection basis details
• Clarified package description in pubspec.yaml
• Added homepage, repository, and issue tracker metadata to pubspec.yaml
• Added MIT License

1.0.0

Initial release of the aliveness Flutter package for face liveness detection.

• 11 built-in facial challenge expressions: smile, blink, left/right pose, nod up/down, tilt left/right, open mouth, wink left/right
• Randomized challenge order per session to prevent replay attacks
• Wrong gesture detection with real-time feedback
• Low-light detection — pauses and prompts user when ambient light is insufficient
• Per-challenge cropped face photo capture via FaceLivenessData.photos
• Haptic feedback on challenge success and wrong gesture
• Cross-platform support: iOS (BGRA8888) and Android (YUV420) camera formats
• iOS euler angle mirror correction for accurate left/right/tilt detection
• Android eye coordinate correction for consistent winkLeft/winkRight behavior
• Built on google_mlkit_face_detection, camera, and image packages