Datahub
byyucheuan
0Integrates Large Language Models with MySQL databases and Google Workspace for educational data management and analysis.
About
Datahub serves as an integration server, enabling Large Language Models (LLMs) to seamlessly interact with critical educational data sources. It connects to MySQL databases to query enterprise data such as attendance logs, lesson plans, and assessment records, and integrates with Google Workspace for managing Sheets, Forms, and Drive files. By providing built-in templates for data analysis and report generation, Datahub streamlines various aspects of education program management, empowering users to extract insights and automate tasks through natural language commands.
Key Features
- Flexible filtering and hierarchical listing for educational data by date range, site, classroom, or child ID.
- Built-in templates for data analysis, report generation, and form-to-spreadsheet workflows.
- LLM-powered querying of MySQL databases for educational records (attendance, lesson plans, DRDP).
- 0 GitHub stars
- Comprehensive Google Workspace integration for Sheets, Forms, and Drive management.
- Secure OAuth authentication flow for Google services and environment-based credential management.
Use Cases
- Querying and analyzing specific educational data, such as student attendance or assessment records, using natural language.
- Managing and interacting with Google Workspace documents, like listing recent spreadsheets or creating feedback forms.
- Generating professional reports and conducting comprehensive data analysis from educational datasets using pre-defined prompts.
Sponsored