Turning “why is it doing that?” into a diagnosis.
Built an interactive hardware-debugging experience that turns raw device telemetry into guided diagnosis using expected signals, baselines, deterministic checks, and AI-assisted reasoning.
Project details
- Device telemetry
Turns raw hardware signals into a guided debugging workflow.
- Expected behavior
Uses expected signals and baselines to identify abnormal device behavior.
- Diagnostic checks
Combines deterministic checks with AI-assisted reasoning to guide diagnosis.
- Fault simulation
The “Make It Weird” flow lets users introduce faults and inspect the resulting telemetry.
- Evidence and recovery
Users can follow diagnostic evidence, test fixes, and verify whether the device has recovered.
- Technology
Uses Go (Golang), React, JavaScript, REST APIs, CRUD workflows, and GitHub Actions.