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VisionFlow Studio — v1.1 Project Closeout

Status

VisionFlow Studio v1.1 is closed as an engineering-complete milestone.

The project is temporarily closed in its current form because the core technical proof has been completed: full-stack architecture, deterministic fixtures, production-path API harnesses, runtime truth integration, and browser-level Playwright verification.

This does not mean the project is abandoned. Future development is intentionally deferred into later version lines instead of being treated as unfinished v1.1 debt.

Current Classification

Area Status
Engineering proof Complete
Product prototype proof Complete
Portfolio readiness Mostly complete
Demo media Deferred
Production SaaS readiness Out of scope

VisionFlow should currently be understood as a local/private computer vision workbench prototype with production-style engineering boundaries. It is not yet a public SaaS product.

Completed Scope

VisionFlow v1.1 includes:

  • Media ingestion
  • Dataset versioning
  • Locked dataset versions
  • Annotation workspace
  • Visual pipeline builder
  • Async inference orchestration
  • CV worker integration
  • ONNX/mock detector path
  • Prediction overlay
  • Evaluation reports
  • COCO export
  • Timeline replay
  • Dataset diff
  • Runtime health/readiness truth
  • Deterministic seed fixtures
  • Database integrity harnesses
  • Production-path API harnesses
  • Full vertical-slice Playwright proof

What This Project Proves

VisionFlow demonstrates:

  • Full-stack system architecture
  • React application composition
  • NestJS API design
  • Prisma/PostgreSQL modeling
  • Redis/BullMQ async workflow
  • MinIO object storage integration
  • FastAPI CV worker integration
  • Deterministic evaluation logic
  • Runtime health synchronization
  • Test harness discipline
  • Playwright browser verification
  • Long-phase project execution and closeout discipline

The project is strong enough to represent advanced portfolio-level engineering work.

Intentionally Out of Scope

The following are not part of v1.1:

  • Authentication and RBAC
  • Public cloud deployment
  • Multi-user collaboration
  • Production-grade tenancy
  • Model training
  • Large-scale dataset management
  • Full production security posture
  • Committed demo GIF/video artifact

These are future productization tasks, not blockers for v1.1 closeout.

Future Development Roadmap

v1.2 — Engineering Polish

Potential next work:

  • Full mutation E2E flow: upload → annotate → lock → COCO export → inference → evaluation
  • More stable data-testid coverage for Playwright
  • Hook-level extraction from App.tsx
  • Real frame extraction for video assets
  • Demo GIF/MP4 recording and README embed
  • Cleaner local production-mode Docker profile

v1.3 — Product Hardening

Potential next work:

  • Authentication and RBAC
  • Multi-project workflows
  • Dataset search, filtering, and bulk actions
  • Model registry and detector versioning
  • Better error recovery UX
  • Batch annotation workflow
  • Improved import/export tooling

v1.4 — Deployment & Operations

Potential next work:

  • Cloud deployment guide
  • Production Docker Compose profile
  • Observability dashboard
  • Backup and restore workflow
  • User/project permissions
  • CI live-stack job for API + web + CV worker

Long-Term AI/CV Expansion

Potential next work:

  • Active learning loop
  • Model training pipeline
  • Segmentation mask support
  • Video dataset workflows
  • Detector plugin architecture
  • Team collaboration and review workflow

Final Closeout Statement

VisionFlow Studio v1.1 is complete as an engineering milestone.

Future work should be treated as a new version line, not unfinished v1.1 debt. The current project state is suitable for technical review, portfolio presentation, and future extension.