Week 24 - Daily Log

Continuing the detailed daily logging format. Each day’s work and learning outcomes are tracked in separate files for clarity and granularity.

Overview

This week focuses on the AnanaCare Relabel project, with emphasis on automating the setup process and planning the Undo/Redo functionality.

Daily Work Logs

See the sidebar or the links above for each day’s detailed log.

Week 24: A Story of Iteration and Innovation

This week in the AnanaCare Relabel project was a journey of technical challenges, architectural breakthroughs, and continuous improvement. Each day built upon the last, weaving together backend reliability, frontend innovation, and a culture of robust experimentation.

Day 1: Asset Recovery and Modernization

The week began with a critical recovery operation. The team tackled a major backend failure caused by mishandled model assets in Git LFS, restoring full inference capability by switching to direct Git management. Simultaneously, the frontend underwent a transformation - migrating from Streamlit to Svelte 5 - ushering in a new era of responsive, modular, and production-ready UI. CORS issues were resolved, and system health monitoring was enhanced, laying a solid foundation for the days ahead.

Day 2: Version Control for Model Training

With the system stabilized, focus shifted to reproducibility and safe iteration. A custom VersionManager utility was introduced, enabling every model training run to be tracked, compared, and rolled back via a central versions.yaml manifest. The QualityApp and TrainApp were refactored to support version selection and automated versioning, while a backup and relabel loop ensured that no data or progress would ever be lost. This marked the transition from ad-hoc experimentation to a disciplined, version-controlled workflow.

Day 3: Dual-State Architecture and Analytics

Midweek, the team mapped out a dual-JSON state management system, separating transient user interactions from persistent project state. This architecture, paired with a new analytics engine, enabled real-time progress tracking, robust error handling, and milestone detection. The backend’s git workflow was overhauled for transparency and resilience, with automated timestamps, improved commit logic, and rollback support. The groundwork was laid for clinical-grade data labeling and future enhancements.

Day 4: UI/UX and Feature Expansion

Building on the new architecture, the application was restructured for clarity and scalability. The UI was enhanced with a global version dropdown, dynamic info cards, and responsive design. Logic was centralized, error handling improved, and analytics expanded to support milestone tracking. The codebase reached a level of maturity ready for production-level testing, with a clear roadmap for future features and user-driven improvements.

Day 5: Layout, Pipeline, and Neural Network Advances

The final day saw a synthesis of frontend and backend progress. The Quality App’s layout was refactored for global controls and seamless state synchronization. The training pipeline was migrated to a new versioned directory, supporting better experiment tracking and future distributed training. Neural network architecture was analyzed and benchmarked, with a focus on modularity and multi-task learning. Mentorship feedback drove the adoption of advanced optimization strategies, including Bayesian search and parallel coordinate plots.

In summary, Week 24 was a showcase of how disciplined engineering, thoughtful design, and a willingness to iterate can transform a project. From asset recovery to advanced analytics and optimization, each day contributed a vital piece to the evolving AnanaCare platform.