💬 "Transforming common interactions into extraordinary experiences!"
- Dynamic Visualization:
- Interactive previews with short videos or GIFs showcasing key features.
- Modular Components:
- Collapsible sections to explore technical details only when needed.
- Custom Graphics:
- Embedded Mermaid.js diagrams.
Kerubin AI is an open-source virtual assistant combining cutting-edge AI technology with an elegant graphical interface. Designed to cater to multiple scenarios, it is:
- Contextual: Offers personalized responses with persistent memory.
- Efficient: Asynchronous support for optimized performance.
- Customizable: Adaptable to user needs.
🌟 Section | 📖 Description |
---|---|
🛠 Architecture | Project structure and main modules |
🚀 Features | Unique resources and differentials |
💻 Technologies | Tools and libraries used |
⚙️ Installation | Step-by-step guide to running the project |
📈 Expansions | Ideas for enhancements |
👥 Contributors | Who helped build this project |
📜 License | License details |
- Responsive sidebar.
- Embedded Markdown Editor with graphics support.
- Integration with modern APIs, multilingual support.
- Real-time history, automatic backup.
💡 Check the diagram below to understand the system flow:
flowchart TD
User -->|Input| Kerubin
Kerubin -->|Processing| AI
AI -->|Response| User
- 🔍 Contextual Search: Provides detailed responses adapted to history.
- 🎨 Customizable Design: Toggle between dark/light themes.
- 📊 Dynamic Visualizations: ASCII graphics and real-time statistics.
Follow this simple guide:
-
Clone the repository:
git clone https://github.com/your-username/kerubin.git
-
Install dependencies:
pip install -r requirements.txt
-
Configure your
.env
file. -
Run the program:
python main.py
- 🛠 Extensibility: Add plugins for task automation.
- 🗣 Voice Recognition: Control with voice commands.
- 📡 Open API: Allow integration with third-party systems.
-
Collaboration Map
graph TD; Dev1-->Kerubin; Kerubin-->Dev2; Dev2-->Community;