🤖 ZACK AR AI Assistant ZACK AR AI Assistant is a powerful, modern, and modular desktop AI assistant built with Python and PyQt5. Designed to deliver seamless conversations, voice interaction, on-screen text extraction, and integration with advanced AI models (both local and cloud-based), ZACK is your personal AI that fits right into your workflow.
✨ Features 🔹 Dual AI Modes Choose between:
Groq Cloud AI: Lightning-fast and accurate responses via LLaMA 3 and other powerful models.
Ollama Local AI: Run local models securely without internet access (supports LLaMA-based models).
🔹 Modern GUI Interface
Built with PyQt5 and styled with QDarkStyle
Responsive layout with user & assistant chat bubbles
System tray integration with quick access
🔹 OCR Screen Capture
Instantly capture any part of the screen
Extract text using Tesseract OCR
Useful for code, articles, and problem-solving
🔹 Text-to-Speech (TTS)
Natural voice output using pyttsx3
Read out AI responses for accessibility and multitasking
🔹 Secure API Integration
Uses the Groq SDK for blazing-fast inference
Easy API key configuration
🚀 Tech Stack Python 3.10+
PyQt5 – GUI
Groq SDK – Cloud AI (LLaMA3)
Ollama – Local AI inference
pytesseract – OCR
pyttsx3 – Text-to-Speech
qdarkstyle – Dark Theme Styling
🔧 How It Works Select the AI model (Online via Groq or Offline via Ollama)
Type your query or press 📸 to capture screen text
Get intelligent replies with voice output
Everything happens in a sleek, user-friendly GUI
📦 Installation bash Copy Edit git clone https://github.com/your-username/zack-ar-ai-assistant.git cd zack-ar-ai-assistant pip install -r requirements.txt python app.py Make sure you:
Install Tesseract OCR
Configure GROQ_API_KEY in the script
Install Ollama if you want to use local models
📌 To-Do (Upcoming Features) Voice command input 🎙️
Workflow automation 🤖
Remote access via mobile app 📱
Plugin system for developer extensions ⚙
🤝 Contributing Pull requests are welcome! If you have ideas or want to collaborate on future features, feel free to fork and contribute.
⚡ Credits Developed by [ABHIJEET] With ❤️ using Python, PyQt, and Groq API.