OmniAccelerANT — Documentation Hub
Start Here
- New contributors: Getting Started
- Deployment targets: Platform Guides
- Streaming + inference pipelines: Camera Streaming
- README navigation: Readmes
- Team workflows: Project Operations
Documentation Map
| Area | Purpose |
|---|---|
| Overview | Architecture, repository layout, design goals, feature status per platform, literature. |
| Getting Started | Local setup, the lanes CI runs, first run, verification checks. |
| Platforms | Linux, Windows, Android, Raspberry Pi and Web instructions. |
| Camera Streaming | The installable ObservANT, GStreamer WebRTC pipelines, the Rust cat-detection producer. |
| AI Playground | Chat with a language model: an endpoint on every platform, the chain GenAI locally on Linux and Windows. |
| ESP32-S3 Companion & Camera | The Rust companion firmware, the ESP32-S3-EYE camera with on-device cat detection, the Device page. |
| Testing | What each kind of test proves, what the app's Dart suite checks, the known gaps. |
| Readmes | Links to the relevant README entry points. |
| Project Operations | Build/test/doc workflows, release notes, contribution flow. |
| Upgrade Guide | Dependency and bridge upgrades. |
What This Project Delivers
AI inference on desktop, web and embedded devices: a Flutter/Dart frontend over a Rust/C++
inference core (flutter_rust_bridge), GStreamer/WebRTC camera streaming, and container and
native build scripts per platform for a reproducible setup.
Read in This Order
Overview → Getting Started → Platforms → Camera Streaming → Project Operations