🤖 AI Research & Analysis Suite

A comprehensive suite of AI-powered research and analysis tools

📚 Documentation • 🚀 Quick Start • 🛠️ Components • 💻 Installation • 📘 Usage

🎯 Suite Components

1. 📑 AI PDF Assistant

• Intelligent PDF document analysis
• Question-answering system
• Secure document handling

2. 🔬 AI Research Assistant

• Automated framework research
• Web-based information gathering
• Comprehensive report generation

3. 🤖 Autonomous Research Framework

• Multi-agent research system
• Academic paper generation
• Dual model support (Groq/TinyLlama)

🚀 Quick Start

# Create virtual environment
python -m venv venv

# Activate virtual environment
source venv/bin/activate  # Linux/Mac
venv\Scripts\activate     # Windows

# Install core dependencies
pip install -r requirements.txt

📦 Core Requirements

flask>=2.0.0
groq>=0.9.0
langchain>=0.1.0
langchain-groq>=0.1.0
python-dotenv>=1.0.0
markdown2>=2.4.0
torch>=2.0.0
transformers>=4.35.0
gradio>=3.50.0

⚙️ Global Configuration

Create a .env file in the root directory:

GROQ_API_KEY=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

🔧 System Requirements

• Python 3.8+
• 8GB+ RAM
• 10GB+ Disk Space
• NVIDIA GPU (optional)
• Docker (for TinyLlama)
• Internet Connection

🔐 Security Features

• API key management
• Secure file handling
• Rate limiting
• Input validation
• Temporary storage management

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add amazing feature')
4. Push to branch (git push origin feature/amazing-feature)
5. Open a Pull Request

📘 Documentation

Detailed documentation for each component:

• PDF Assistant Documentation
• Research Assistant Documentation
• Autonomous Framework Documentation

📊 Feature Comparison

Feature	PDF Assistant	Research Assistant	Autonomous Framework
Input	PDF Documents	Research Topics	Multiple Sources
Output	Q&A Responses	Research Reports	Academic Papers
Model	Groq	Groq	Groq/TinyLlama
Interface	Web UI	Web UI	Open WebUI
Agents	Single	Single	Multi-Agent

🌟 Use Cases

• 📚 Academic Research
• 📊 Market Analysis
• 📝 Document Processing
• 🔍 Literature Review
• 📈 Trend Analysis
• 🎓 Educational Support

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Groq for LLM services
• LangChain for the framework
• CrewAI for multi-agent capabilities
• TinyLlama for local model support
• Flask for web framework

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