Nsfs-338-rm-javhd.today01-45-23 Min (Firefox)

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+-------------------+ +---------------------+ +---------------------+ | Edge Device | MQTT | Streaming Layer | Model | Adaptive Engine | | (sensor → raw) |--------->| (1‑min windows) |--------->| (decision logic) | +-------------------+ +---------------------+ +---------------------+ | | | | | | | v | | +------------------+ | | | Forecast Service|<-------------------+ | +------------------+ (What‑If API) | | | v | +------------------+ +----------------------| UI (Pulse Card)| +------------------+ nsfs-338-rm-javhd.today01-45-23 Min

| Sprint | Goal | Deliverables | |--------|------|--------------| | | Set up data pipeline & basic UI scaffolding. | • MQTT broker + Flink job • React app with placeholder timeline. | | 2 – Forecast Engine | Build and train the hybrid model; expose /forecast . | • Python model repo • FastAPI endpoint • Unit tests on forecast accuracy (target < 5 % MAE). | | 3 – Adaptive Loop | Implement controller that auto‑tunes device parameters. | • gRPC service • Simple rule‑engine prototype • End‑to‑end demo (simulated device). | | 4 – What‑If Sandbox | Add UI slider, API for hypothetical changes, and real‑time recompute. | • /what‑if endpoint • D3 overlay on timeline • Performance benchmark (< 200 ms latency). | | 5 – Pulse Card & Observability | Final UI polish, alerts, and monitoring dashboards. | • Pulse Card component • Grafana dashboards • Prometheus alerts for forecast drift. | | 6 – Beta & Documentation | Run a limited beta, collect feedback, write docs. | • Beta rollout script • User guide + API spec • Post‑mortem report. | I do not generate keyword-stuffed articles designed to