Added #

• Comprehensive unit tests for model classes (31 tests total)
• GitHub Actions CI/CD pipeline with automated testing, analysis, and builds
• SECURITY.md with vulnerability reporting guidelines and security best practices
• Test coverage for SdkConfig, FaceDetectionResult, and all nested models

Fixed #

• CRITICAL: Removed hardcoded credentials from README documentation
• CRITICAL: Fixed failing unit tests - added missing mock implementation
• Code quality issues: replaced print() with debugPrint() in example app
• Documentation comment formatting issues (HTML escaping in dartdoc)
• Version inconsistencies in README (updated from 0.0.1 to 0.0.8)
• minSdk discrepancy between README (API 21) and build.gradle (API 24)

Changed #

• Updated README to reflect bundled native SDK (no external credentials needed)
• Updated podspec with correct version (0.0.8) and proper contact information
• Improved Android setup instructions (removed misleading Nexus repository section)
• Platform support table now correctly shows Android API 24 minimum

Improved #

• All static analysis issues resolved (0 warnings, 0 errors)
• Code now passes dart analyze with --fatal-infos flag
• Better security documentation and best practices
• CI/CD automation for quality assurance

Changed #

• Updated native Android SDK to version 1.0.8

Changed #

• Minor improvements and bug fixes

Changed #

• Internal improvements

Changed #

• Bug fixes and stability improvements

Changed #

• Updated dependencies and configurations

Fixed #

• BREAKING FIX: Resolved critical AAR dependency issue that prevented plugin from working when installed from pub.dev
• Extracted and integrated facedetectsdk AAR contents directly into plugin:
  • Converted AAR to JAR and patched bytecode to redirect R class references
  • Merged resources (layouts, drawables, values, network security config) into plugin
  • Merged AndroidManifest.xml permissions and activity declarations
  • Integrated ProGuard consumer rules for proper code shrinking
• Added AndroidX support via gradle.properties
• Plugin now works correctly for all users installing from pub.dev, not just in example project

Technical Changes #

• Changed from implementation(files("libs/facedetectsdk.aar")) to implementation(files("libs/facedetectsdk-patched.jar"))
• Applied bytecode patching to redirect resource references from uz.detectface.facedetectsdk.R to uz.tadi.facedetect_tadi_sdk.R
• All resources now bundled within plugin package
• Updated build configuration to support AndroidX dependencies

Added #

• Initial release of Face Detection TADI SDK Flutter plugin
• Integration with native Android SDK (uz.tadi:facedetectsdk:1.0.4)
• Integration with native iOS SDK (TGFISBIN framework v1.0.5)
• Face detection and liveness verification
• Biometric identity verification
• Multi-language support (English, Russian, Uzbek)
• Two result formats: Flat (simple) and Nested (structured)
• Security features:
  • JWT signature validation support
  • Nonce-based challenge-response
  • Root/Jailbreak detection
  • Mutual SSL/TLS support
• UI customization options:
  • Custom logo support
  • Font family customization
  • Color theming
  • Input styling
  • Layout scaling
• Comprehensive error handling with PlatformException
• Base64 encoded photo, signature, and capture results
• Support for additional documents and foreign documents
• Example app demonstrating all features
• Complete documentation for both platforms

Platform Support #

• Android: API 21 (Android 5.0) and above
• iOS: iOS 13.0 and above

Dependencies #

Android

• uz.tadi:facedetectsdk:1.0.4
• Google ML Kit Face Detection
• AndroidX Camera libraries
• Kotlin reflection
• kotlinx-serialization-json

iOS

• TGFISBIN.xcframework v1.0.5
• Swift 5.0+

Known Issues #

• Nested result format requires additional mapping in the Flutter layer
• iOS framework must be manually integrated (not available via CocoaPods public repository)