JuliaAIForAuroraOS is a modular, secure, and offline-capable artificial intelligence framework designed to run natively on Aurora OS, the Russian sovereign mobile OS. It enables natural language understanding, vision processing, voice interaction, and symbolic logic β all without relying on the cloud.
- π Offline Privacy-First AI β All processing is local and secure.
- π§ Modular AI Architecture β Includes NLP, Vision, Voice, and Logic Engines.
- π± Native Aurora OS Integration β Built for seamless interaction with Auroraβs system services.
- π£ Russian Language Support β NLP and voice models optimized for π·πΊ users.
- 𧩠Plug-and-Play β Suitable for embedded, mobile, kiosk, and autonomous platforms.
JuliaAIForAuroraOS/
βββ src/
β βββ nlp/ # Natural Language Processing
β βββ vision/ # Computer Vision models
β βββ speech/ # Offline Speech-To-Text and TTS
β βββ logic/ # Symbolic inference engine
βββ aurora_integration/ # Interfaces with Aurora OS APIs
βββ assets/ # Configs, models, language files
βββ examples/ # Usage examples and CLI tools
βββ README.md
- Aurora OS SDK
- Python 3.9+ or C++20
- CMake, Meson, or Ninja
- ONNX Runtime (optional for advanced vision tasks)
git clone https://github.com/sorydima/JuliaAIForAuroraOS.git
cd JuliaAIForAuroraOS
mkdir build && cd build
cmake ..
makefrom julia_nlp import analyze_text
response = analyze_text("ΠΠΎΠΊΠ°ΠΆΠΈ ΠΌΠ½Π΅ ΡΠ°ΡΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π½Π° Π·Π°Π²ΡΡΠ°")
print(response)
# Output:
# {
# "intent": "calendar.show_schedule",
# "entities": ["Π·Π°Π²ΡΡΠ°"]
# }- π Installation Guide
- π§ Architecture Overview
- π API Reference
- π‘ Use Cases
- π§ spaCy / HuggingFace (select models adapted for offline use)
- π€ Vosk for STT and RHVoice for TTS
- πΌ ONNX for model inference
- π C++ & Python bindings
- π·πΊ Aurora OS APIs
We welcome community collaboration! Please open an issue or submit a pull request. Check the CONTRIBUTING.md if available.
Licensed under the MIT License. See LICENSE for more information.