Agentic AI Assistant for BCI Research

An intelligent research assistant powered by LangChain and Claude that helps neuroscience researchers query neural datasets, generate summaries, and plan experiments.

This project combines cutting-edge AI tooling with practical laboratory support for Brain-Computer Interface (BCI) research. The assistant leverages agentic workflows to provide researchers with intelligent analysis, experiment planning, and data interpretation capabilities.

• Neural Dataset Querying: Intelligent search and analysis of BCI datasets
• Research Summaries: Automated generation of literature reviews and experimental summaries
• Experiment Planning: AI-assisted experimental design and protocol development
• Data Analysis: Advanced neural signal processing and interpretation
• Interactive Interface: User-friendly web interface for researchers

• AI Framework: LangChain for agentic workflows
• Language Model: Claude (Anthropic) for advanced reasoning
• ML Models: Hugging Face Transformers for specialized neural analysis
• Web Framework: FastAPI + Streamlit for interactive interface
• Data Integration: Public BCI datasets (OpenNeuro, PhysioNet, etc.)
• Visualization: Plotly, Matplotlib for neural data visualization

# Clone the repository
git clone <repository-url>
cd agentic-ai-bci

# Install dependencies
pip install -r requirements.txt

# Set up environment variables
cp .env.example .env
# Edit .env with your API keys

# Run the application
python scripts/run_app.py

agentic-ai-bci/
├── docs/                    # Documentation
├── src/                     # Source code
│   ├── agents/             # LangChain agents
│   ├── models/             # Data models
│   ├── services/           # Core services
│   └── ui/                 # User interface
├── scripts/                # Utility scripts
├── tests/                  # Test suite
├── data/                   # Sample datasets
└── config/                 # Configuration files

See Configuration Guide for detailed setup instructions.

• Project Plan
• API Documentation
• Development Guide
• Dataset Integration

Please read CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

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

• OpenNeuro for providing open BCI datasets
• PhysioNet for neural signal databases
• The neuroscience research community