🚀 Major Enhancement: Complete AI-Powered LifeRPG Platform with Git LFS

✨ New Features:
- AI-powered habit creation with natural language processing
- HuggingFace transformers integration for sentiment analysis (tracked via Git LFS)
- Advanced predictive analytics and behavioral insights
- Voice & image input capabilities for hands-free habit tracking
- Real-time notifications and community features
- Plugin system with extensible architecture

🔧 Technical Improvements:
- Comprehensive FastAPI backend with 30+ endpoints
- React frontend with PWA capabilities
- Advanced authentication with 2FA support
- RBAC authorization system
- Comprehensive security features (CSRF, rate limiting, audit logging)
- Database migrations and health monitoring
- Docker containerization support
- Git LFS configured for large AI model files (2+ GB)

📚 Documentation & DevOps:
- Complete deployment guides for multiple platforms
- Professional README with feature highlights
- GitHub Actions CI/CD workflows
- Comprehensive API documentation
- Security audit roadmap and compliance framework
- Setup scripts for development environment

🧪 Testing & Quality:
- Comprehensive test suite with 20+ test modules
- Setup verification scripts
- Working development environment with both backend and frontend
- Health checks and monitoring systems

🌟 Ready for:
- Portfolio showcasing
- Community contributions
- Production deployment
- Professional presentation

modern/backend/worker.py

@@ -9,10 +9,13 @@ except Exception:
     Queue = None
     Retry = None
     Redis = None
-from .metrics import record_job_processed, record_integration_sync_by_id, log_job_event, record_enqueue_skipped, SYNC_JOB_DURATION_SECONDS
-from .notifier import emit_sync_event
-from .hooks import hooks_for_integration
-from .adapters import ADAPTERS, AdapterError, TransientError
+from metrics import (
+    record_job_processed, record_integration_sync_by_id, 
+    log_job_event, record_enqueue_skipped, SYNC_JOB_DURATION_SECONDS
+)
+from notifier import emit_sync_event
+from hooks import hooks_for_integration
+from adapters import ADAPTERS, AdapterError, TransientError
 
 
 def get_queue():