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AlakazipLabs/README.md

Field notes from small, verifiable systems. The pattern across everything here: take a real problem from my own house, lab, or classroom; instrument it; measure before claiming; publish what held up and what didn't.

Sensing and signals

  • roomba-signal-mapping — mapping a camera-less robot vacuum by layering the weak signals a home already produces, checked against consumer-LiDAR ground truth.
  • storm-net-recorder — records and transcribes the local storm-spotter net automatically, driven by National Weather Service warnings.

Teaching and tooling

  • systems-integration-lab — a graduate systems-integration lab: three containerized tiers with a small local language model in the middleware.
  • ai-parts-on-demand — plain-language intent to working physical parts: parametric CAD with enforced print gates and a loop that turns real measurements into rules.
  • web-video-transcriber — web video to usable text: site captions when they exist, local Whisper when they don't.
  • PiShade — a Raspberry Pi running a cheap roller shade on solar time, honest about what is original 2019 hardware versus reconstructed code.

Pinned Loading

  1. ai-parts-on-demand ai-parts-on-demand Public

    A compiler from plain-language intent to working physical parts: parametric build123d CAD with enforced print gates, measurement cards, and a verdict loop that turns real measurements into rules.

    Python

  2. roomba-signal-mapping roomba-signal-mapping Public

    Mapping a camera-less robot vacuum by layering the weak signals a home already produces — telemetry, RF, fixed sensors — interpreted outside the robot against consumer-LiDAR ground truth.

  3. storm-net-recorder storm-net-recorder Public

    Record and transcribe your local storm-spotter net automatically, driven by NWS warnings.

    Python

  4. systems-integration-lab systems-integration-lab Public

    A graduate-level Systems Integration lab: three-tier containerized architecture with a small local LLM in the middleware tier.

    Python