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Zorin A smart desktop assistant powered by AI. Includes voice and text chat, system monitoring, weather, calendar, and more — all in a clean, animated UI built with Python, HTML, CSS and JavaScript.
#artificial-intelligence #ironman #jarvis #jarvis-ai #personal-assistant
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README preview � ZORIN - Advanced AI Desktop Assistant
A sophisticated, modern desktop AI assistant with voice interaction, real-time web search, and beautiful animated UI
Features • Installation • Usage • API Keys • Contributing
🌟 Overview
Zorin is a cutting-edge AI desktop assistant that combines the power of modern AI models with an intuitive, animated web interface. Built with Python and JavaScript, it offers seamless voice and text interactions, real-time information retrieval, and system integration capabilities.
🎯 What Makes Zorin Special
🎨 Modern UI : Beautiful glassmorphism design with animated orb visualizations
🎙️ Advanced Voice : Natural speech recognition and text-to-speech with Edge TTS
🧠 Multi-Model AI : Support for Groq, Cohere, and HuggingFace models
🌐 Real-time Search : Live web search integration for up-to-date information
📱 Responsive Design : Works seamlessly across desktop and mobile browsers
🔧 Extensible : Modular architecture for easy feature additions
✨ Features
🤖 AI & Conversation
Multiple AI model support (Llama 3.3, DeepSeek R1, Gemma 2, etc.)
Persistent conversation memory with chat history
Context-aware responses with real-time information
Custom personality and response styling
🎙️ Voice & Audio
Advanced speech recognition with Web Speech API
Natural text-to-speech using Microsoft Edge TTS
Voice activation with wake word detection (Pvporcupine)
Multiple voice options and languages
🌐
Web Integration
Real-time web search capabilities
Live weather updates
News and information retrieval
Website content summarization
🎨 User Interface
Animated AI orb with multiple states (idle, listening, thinking, speaking)
Modern glassmorphism design with backdrop blur effects
Responsive layout for all screen sizes
Dark theme with cyan/teal accent colors
Smooth animations and transitions
� System Features
Real-time system monitoring (CPU, RAM, Network)
Application launcher integration
File and folder management capabilities
Cross-platform compatibility (Windows, macOS, Linux)
🚀 Installation
Prerequisites
Python 3.8+ (3.9+ recommended)
Modern web browser (Chrome, Firefox, Edge, Safari)
Microphone for voice input (optional)
Internet connection for AI models and web search
1. Clone the Repository git clone https://github.com/JashanMaan28/Zorin.git
cd Zorin
2. Create Virtual Environment (Recommended) # Windows
python -m venv env-zorin
env-zorin\Scripts\activate
# macOS/Linux
python3 -m venv env-zorin
source env-zorin/bin/activate
3. Install Dependencies pip install -r requirements.txt
4. Set Up Environment Variables Create a .env file in the root directory:
# User Configuration
Username=YourName
# AI Model Configuration
Model=llama-3.3-70b-versatile
GroqAPIKey=your_groq_api_key_here
COHERE_API_KEY=your_cohere_api_key_here
HuggingFaceAPIKey=your_huggingface_api_key_here
# Voice Configuration
pvporcupine_ACCESS_KEY=your_picovoice_api_key_here
5. Run the Application The application will automatically open in your default web browser at http://localhost:8000
🔑 API Configuration
Required API Keys
Setting Up API Keys
Groq (Primary AI) :
Sign up at groq.com
Navigate to API Keys section
Create new API key
Add to .env file
Cohere (Web Search) :
Register at cohere.ai
Go to Dashboard → API Keys
Generate new key
Add to .env file
HuggingFace (Optional) :
Create account at huggingface.co
Go to Settings → Access Tokens
Create new token
Add to .env file
Picovoice (Wake Word) :
Sign up at picovoice.ai
Access Console → Porcupine
Copy access key
Add to .env file
🎮 Usage
Basic Interaction
Text Input : Type your question in the input field and press Enter or click Send
Voice Input : Click the microphone button and speak your question
Settings : Click the gear icon to configure API keys and models
Chat History : Click the chat icon to view conversation history
Voice Commands
"Hey Zorin" - Wake word activation (if configured)
Natural conversation - Ask questions, request information, get help
System commands - "Open calculator", "Check weather", etc.
Keyboard Shortcuts
Ctrl + Enter - Send message
Cmd/Ctrl + J - Activate voice input
Escape - Return to main interface
Advanced Features
Model Selection Choose from multiple AI models in settings:
Llama 3.3 70B (Recommended) - Balanced performance and accuracy
DeepSeek R1 - Advanced reasoning capabilities
Gemma 2 9B - Fast and efficient responses
Web Search Integration Zorin automatically searches the web for current information when needed:
User: "What's the weather in Tokyo today?"
Zorin: *searches web* "Currently in Tokyo, it's 22°C with partly cloudy skies..."
Chat Management
Auto-save : Conversations are automatically saved
Archive : Old chats are archived by date
Export : Download chat history as JSON
🏗️ Project Structure Zorin/
├── 📁 backend/ # Python backend modules
│ ├── ChatBot.py # Main AI chat logic
│ ├── Model.py # AI model management
│ ├── RealtimeSearchEngine.py # Web search functionality
│ ├── speechToText.py # Voice recognition
│ ├── textToSpeech.py # Voice synthesis
│ ├── commands.py # System commands
│ ├── features.py # Core features
│ └── settings.py # Configuration management
├── 📁 frontend/ # Web interface
│ ├── index.html # Main UI
│ ├── style.css # Modern styling
│ ├── main.js # Core JavaScript
│ ├── controller.js # Backend communication
│ └── 📁 assets/ # Static assets
├── � Data/ # User data and logs
│ ├── ChatLog.json # Current conversation
│ └── 📁 Files/ # Generated content
├── 📁 chatlog_archives/ # Historical conversations
├── main.py # Core application logic
├── run.py # Application launcher
├── requirements.txt # Python dependencies
└── .env # Environment configuration
� Development
Architecture Zorin uses a hybrid architecture combining:
Backend : Python with Eel for web app integration
Frontend : Modern web technologies (HTML5, CSS3, ES6+)
Communication : Eel framework for Python-JavaScript bridge
AI : Multiple model providers via REST APIs
Voice : Web Speech API + Edge TTS integration
Key Components
Backend (Python)
ChatBot.py : Manages AI conversations and context
Model.py : Handles multiple AI model integrations
RealtimeSearchEngine.py : Web search and information retrieval
speechToText.py : Voice input processing
textToSpeech.py : Voice output generation
Frontend (JavaScript)
OrbController : Manages visual AI orb animations
WebSocket Communication : Real-time backend interaction
Responsive UI : Modern glassmorphism design
State Management : Handles conversation and UI states
Adding New Features
Backend Features : Add to /backend/ directory
UI Components : Modify /frontend/ files
API Integration : Update Model.py and settings
Commands : Extend commands.py for system integration
🎨 Customization
Themes & Styling The UI uses CSS custom properties for easy theming:
:root {
--primary-color: #0ab0d1;
--secondary-color: #05738a;
--accent-color: #29e9dd;
--background-color: rgba(25, 25, 25, 0.95);
--text-color: #ffffff;
}
Voice Configuration Customize voice settings in .env:
# Voice Settings
VOICE_LANGUAGE=en-US
VOICE_SPEED=1.0
VOICE_PITCH=1.0
TTS_PROVIDER=edge
AI Personality Modify the system prompt in backend/ChatBot.py:
System = f"""
You are Zorin, a helpful AI assistant.
Customize personality traits here...
"""
🚀 Deployment
Local Network Access To access Zorin from other devices on your network:
Find your local IP address
Update run.py to bind to 0.0.0.0
Access via http://YOUR_IP:8000
Docker Deployment FROM python:3.9-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
EXPOSE 8000
CMD ["python", "run.py"]
🔮 Roadmap
Upcoming Features
Version History
v2.0.0 - Modern UI redesign with orb animations
v1.5.0 - Multi-model AI support and web search
v1.0.0 - Initial release with basic chat functionality
🤝 Contributing We welcome contributions from the community! Here's how you can help:
Getting Started
Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request
Contribution Guidelines
Code Style : Follow PEP 8 for Python, ESLint for JavaScript
Documentation : Update README and code comments
Testing : Add tests for new features
Issues : Use GitHub issues for bug reports and feature requests
Areas for Contribution
🐛 Bug Fixes : Help improve stability
🎨 UI/UX : Enhance the user interface
🔧 Features : Add new functionality
📚 Documentation : Improve guides and tutorials
🌍 Localization : Add language support
📋 Troubleshooting
Common Issues
Installation Problems Issue : pip install fails with permission errors
# Solution: Use virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
pip install -r requirements.txt
Issue : Microphone not working
# Check microphone permissions in browser
# Ensure HTTPS or localhost for Web Speech API
Runtime Errors Issue : "Module not found" errors
# Ensure virtual environment is activated
# Reinstall r