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Changelog

All notable changes to the PlotSenseAI Hackathon Demo Projects will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[1.0.0] - 2024-09-17

Added

  • Project One: ML Explainability Demo with UCI Breast Cancer dataset

    • Jupyter notebook with comprehensive ML workflow
    • PlotSenseAI integration for automated visualizations
    • AI-powered explanations for model results
    • Feature importance analysis with PlotSenseAI

  • Project Two: Anomaly Detection Plugin

    • Z-score based anomaly detection algorithm
    • PlotSenseAI integration for visualization
    • Comprehensive test suite with pytest
    • Modular package structure for easy extension
    • Interactive demo with multiple threshold comparisons

  • Project Three: Data Storytelling Web Application

    • Interactive Streamlit web app
    • Climate data exploration interface
    • Real-time PlotSenseAI visualization generation
    • Groq API integration for AI explanations
    • Responsive design with mobile support

Documentation

  • Comprehensive README with project overview
  • Detailed setup and installation guides
  • Step-by-step tutorials for each project
  • Interactive demo walkthroughs
  • Contributing guidelines for open-source development
  • Code documentation with type hints and docstrings

Infrastructure

  • GitHub issue and PR templates
  • MIT License
  • CI/CD ready structure
  • Python packaging configuration
  • Requirements files for each project

Features

  • Cross-project compatibility: Components can be mixed and matched
  • Educational focus: Designed for learning and hackathon use
  • Production-ready code: Includes error handling and validation
  • Extensible architecture: Easy to add new features and algorithms
  • Comprehensive testing: Unit tests with good coverage
  • Type safety: Full type hint support throughout codebase

Future Versions

Planned for [1.1.0]

  • Additional anomaly detection algorithms (IQR, Isolation Forest)
  • Real-time data streaming support
  • More machine learning models in Project One
  • Enhanced mobile responsiveness in Project Three
  • Docker containerization
  • Cloud deployment guides

Planned for [1.2.0]

  • Integration with more data sources
  • Advanced visualization types
  • User authentication system
  • Data export functionality
  • Performance optimizations
  • Multi-language support

Contributing

To suggest new features or report bugs, please:

  1. Check existing issues
  2. Create a new issue using our templates
  3. Follow our contributing guidelines

Support

For help and support: