Feb 21, 2026

DataMind

data dictionary database management machine learning kiyotaka data analytics
DataMind
DataMind
DataMind

Link to open source: https://github.com/Shivani-Meena07/DataMind

Link to Live Project: https://github.com/Shivani-Meena07/DataMind

DataMind is an intelligent database documentation agent designed to eliminate tribal knowledge in organizations.

Its purpose is to automatically analyze relational databases-examining schema structure, relationships, and real data patterns-and generate comprehensive, human-readable documentation.

The goal is to help engineers and stakeholders quickly understand any database without relying on outdated manuals or internal experts. By combining data profiling, relationship analysis, and AI-driven business inference, DataMind AI reduces onboarding time, improves data transparency, ensures documentation stays up to date, and supports better decision-making across teams.

This build was uploaded as a hackathon project

Hackathon

HackFest 2.0

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Updates
  • We have completed the initial website structure and developed a basic frontend interface for DataMind AI. The current UI is a preliminary version and may be refined based on feedback and further development. We are now preparing for backend integration and implementation of the core AI features.
    Saturday, Feb 21st, 2026
  • We have enhanced the frontend by improving usability and visualization of outputs. On the backend, we implemented the main Python-based processing pipeline with metadata extraction, AI inference, and content-based data versioning. The frontend and backend are now integrated.
    Saturday, Feb 21st, 2026
  • we added hybrid vector search system (TF-IDF + BM25 + MMR) for more accurate offline semantic retrieval and enhanced our graphical intelligence layer with advanced structural visualizations.
    Sunday, Feb 22nd, 2026