zaibaki/ScienceBridge

An agent that accelerates scientific research by autonomously analyzing provided datasets,great for generating hypotheses, and validating them through code real quick with a single prompt

ScienceBridge

ScienceBridge is an AI agent that accelerates scientific research by autonomously analyzing datasets, evaluating hypotheses, and validating them through code with a single prompt.

System Design

🚀 Features

• Autonomous Data Analysis: Quickly analyze complex datasets without extensive coding
• Hypothesis Generation: Generate testable scientific hypotheses based on data patterns
• Code Validation: Validate hypotheses through automatically generated code
• Visualization: Generate insightful graphs and plots from your data
• ML Integration: Run simple ML models including:
  • Regression analysis
  • Decision tree classifiers
  • Clustering algorithms
  • Random forest models

📋 Quick Start

# Pull the Docker image
docker pull zaibaki/science-bridge:latest

# Run the container
docker run -p 8000:8000 --env-file .env zaibaki/science-bridge

The API will be accessible at http://localhost:8000

📚 Documentation

For detailed setup instructions, environment variables, development guidelines, and deployment options, please see the Documentation .

🔗 Resources

• Docker Hub: https://hub.docker.com/repository/docker/zaibaki/science-bridge/
• GitHub Repository: https://github.com/RichardKaranuMbuti/ScienceBridge

🧪 Example Use Cases

• Quickly analyze experimental results
• Identify patterns in research data
• Generate and test hypotheses across multiple datasets
• Create publication-ready visualizations
• Perform preliminary machine learning analysis

📝 License

MIT License