Enhanced Research Assistant 🔬

An AI-powered research assistant that helps you analyze papers, discover related work, and generate research proposals with both CLI and web interfaces.

✨ Features

🤖 AI-Powered Analysis

• Multi-Agent System: Specialized agents for different research tasks
• Paper Analysis: Deep analysis of research papers from various sources
• Literature Search: Automated discovery of related papers
• Research Synthesis: Intelligent synthesis of findings across papers
• Proposal Generation: AI-generated research proposals based on analysis

📄 Multiple Input Formats

• arXiv URLs: Direct processing of arXiv papers
• PDF Files: Local PDF document analysis
• LaTeX Content: Direct LaTeX text processing
• Plain Text: General text analysis capabilities

🌐 Dual Interface

• Command Line Interface: Interactive terminal-based research sessions
• Web Interface: Modern, responsive web UI with real-time updates
• Session Persistence: Save and load research contexts
• Real-time Processing: Live status updates and streaming responses

🔍 Advanced Capabilities

• Mid-Session Paper Addition: Add new papers during ongoing research
• Context-Aware Analysis: Maintains research context across sessions
• Multi-Source Search: arXiv and Google Scholar integration
• Intelligent Synthesis: Connects findings across multiple papers
• Research Proposal Refinement: Iterative improvement of research ideas

🚀 Quick Start

Prerequisites

• Python 3.8+
• OpenAI API key

Installation

1. Clone the repository

git clone https://github.com/yourusername/enhanced-research-assistant.git
cd enhanced-research-assistant

2. Install dependencies

pip install -r requirements_research.txt
pip install flask flask-socketio  # For web interface

3. Set up environment

export OPENAI_API_KEY="your-openai-api-key-here"

Usage

Command Line Interface

python enhanced_research_assistant.py

Web Interface

python web_app.py

Then open http://localhost:52609 in your browser.

💡 Usage Examples

Adding Papers

# Add arXiv paper
add https://arxiv.org/abs/2301.00001

# Add local PDF
add /path/to/paper.pdf

# Add LaTeX content
add "\\title{My Paper}\\begin{abstract}..."

Research Commands

# Search for related papers
search transformer architecture

# Analyze specific aspects
analyze methodology

# Investigate authors
authors Attention Is All You Need

# Get research summary
summary

# Refine research proposal
refine proposal

Web Interface Features

• Quick Actions: One-click buttons for common tasks
• Real-time Chat: Interactive conversation with the AI
• Context Panel: Live view of research context
• Paper Upload Modal: Easy paper addition interface
• Session Management: Save/load research sessions

🏗️ Architecture

Core Components

• EnhancedResearchAssistant: Main orchestrator class
• PaperProcessor: Handles multiple input formats
• Multi-Agent System: Specialized AI agents for different tasks
• WebResearchSession: Web interface session management

AI Agents

• Paper Analyzer: Deep analysis of individual papers
• Literature Searcher: Discovery of related work
• Research Synthesizer: Cross-paper synthesis
• Proposal Writer: Research proposal generation

Web Stack

• Backend: Flask + SocketIO for real-time communication
• Frontend: Modern HTML5/CSS3/JavaScript with WebSocket
• Session Management: UUID-based session tracking
• Async Processing: Background task processing

📁 Project Structure

enhanced-research-assistant/
├── enhanced_research_assistant.py  # Main CLI application
├── web_app.py                     # Web interface server
├── templates/
│   └── index.html                 # Web UI template
├── requirements_research.txt      # Python dependencies
├── FEATURES_SUMMARY.md           # Detailed feature documentation
├── research_context.json         # Example saved context
└── README.md                     # This file

🔧 Configuration

Environment Variables

• OPENAI_API_KEY: Required for AI functionality
• FLASK_ENV: Set to 'development' for debug mode

Customization

• Modify agent prompts in enhanced_research_assistant.py
• Adjust web interface styling in templates/index.html
• Configure search parameters and result limits

🤝 Contributing

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

📝 License

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

🙏 Acknowledgments

• Built on top of the AutoGen framework
• Powered by OpenAI's GPT models
• Inspired by the need for better research tools

📞 Support

• Create an issue for bug reports or feature requests
• Check the FEATURES_SUMMARY.md for detailed documentation
• Review example usage in the repository

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Happy Researching! 🎓✨# ResearchAgent