DOSFI Academy
Mesh-Native
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LabpaidResearch Apps

Mesh-Native Sleep Analyzer

Collect sleep data from wearables and phone sensors and analyze patterns locally.

intermediate 2h$49

What you'll build

Vertical stack context: DOSFIUniversity (research) → DOSFI Academy (this course) → MeshNativeExchange (publishing & monetizing). Students progress from Learning → Building → Publishing → Monetizing. This course provides a deep technical implementation guide for the Mesh-Native Sleep Analyzer, a Research App that leverages the DIU and MeshInfer subsystems to perform local-first telemetry processing. Participants will architect a pipeline that ingests Vital sensor data, applies privacy-preserving filters via the Identity Fabric, and synchronizes state across the Mesh-Native network using the MNE.

Skills you'll practice

  • Implement DIU-based ingestion pipelines for asynchronous sensor data.
  • Configure MeshInfer local inference workflows for sleep stage classification.
  • Apply Routing Policies to enforce granular Privacy Tier constraints on sensitive Vital telemetry.
  • Debug state synchronization issues within the Mesh-Native Identity Fabric.

Before you start

  • Foundational understanding of the DOSFI Mesh-Native Transport Layer.
  • Experience with YAML-based Bundle Schema configuration.
  • Familiarity with the Mesh-Native State Machine lifecycle.
  • Basic proficiency in local-first data persistence patterns.

Lab steps3 steps

  1. 1
    DIU Sensor Data Ingestion
  2. 2
    MeshInfer Workflow Integration
  3. 3
    Privacy Tier and Routing Policy