Step 0 Pre-Check: Project Type Detection

Detected Project Type

Primary Type: Distributed Deep-Space Clinical Telemetry & Delay-Tolerant Decision-Support Platform (Node.js 20 / TypeScript 5 Strict ESM + Express 5 + Socket.IO + MongoDB Time-Series + Redis Streams + Python ML Sidecar + React 18 Dashboard) Sub-Category: Autonomous Mission-Critical Healthcare, High-Throughput Bio-Telemetry, Signal Quality Analysis (SQA), Comms Delay Emulation (DTN).

Evidence

• Backend Core: Express 5.0.1, TypeScript 5.7.3 strict ESM (25 nasa/nasa/backend/), Socket.IO 4.8.1.
• Database: MongoDB 8.12.1 with Mongoose time-series collections for physiological vitals.
• Event Bus & Storage: Redis Streams (ioredis 6.0.0) for delayed message buffers and pub/sub.
• ML Inference Sidecar: Python FastAPI service (ml-sidecar/) for predictive shock and cardiac decompensation.
• Signal Quality & Ingest: src/services/qualityService.ts, src/services/ingestService.ts (spike rejection, flatline detection, idempotency lease locking).
• Delay-Tolerant Relay: src/services/linkEmulator.ts, src/services/storeAndForward.ts (OWLT: ISS 0s, Moon 1.3s, Mars 3-22m, blackout queues).
• Frontend Dashboard: React 18.3.1, Vite 5.4.11 (dashboard/), Socket.IO client.
• Testing: Vitest 3.0.7 across 49 comprehensive unit/integration test suites.

Documentation Track

• Full Stack / Mission-Critical Systems Track: End-to-end signal processing, delay-tolerant networking (DTN), alert fusion engines, machine authentication (HMAC), and ML sidecar integration.