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 — all without relying on the cloud.
- 🔒 Offline Privacy-First AI – All processing is local and secure.
- 🧠 Modular AI Architecture – Includes NLP, Vision, Voice, and Logic Engines.
- 📱 Native Aurora OS Integration – Built for seamless interaction with Aurora’s system services.
- 🗣 Russian Language Support – NLP and voice models optimized for 🇷🇺 users.
- 🧩 Plug-and-Play – Suitable for embedded, mobile, kiosk, and autonomous platforms.
JuliaAIForAuroraOS/
├── src/
│ ├── nlp/ # Natural Language Processing
│ ├── vision/ # Computer Vision models
│ ├── speech/ # Offline Speech-To-Text and TTS
│ └── logic/ # Symbolic inference engine
├── aurora_integration/ # Interfaces with Aurora OS APIs
├── assets/ # Configs, models, language files
├── examples/ # Usage examples and CLI tools
└── 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("Покажи мне расписание на завтра")
print(response)
# Output:
# {
# "intent": "calendar.show_schedule",
# "entities": ["завтра"]
# }- 🧠 spaCy / HuggingFace (select models adapted for offline use)
- 🎤 Vosk for STT and RHVoice for TTS
- 🖼 ONNX for model inference
- 🛠 C++ & Python bindings
- 🇷🇺 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.