📅 2025-03-02 — Session: Enhanced Google Drive Metadata and Categorization
🕒 19:30–20:15
🏷️ Labels: Google Drive, Metadata, Automation, AI, File Organization
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The primary objective of this session was to improve the metadata extraction and categorization of Google Drive files using AI-driven automation.
Key Activities
- Developed an AI wrapper function for extracting structured metadata from Google Drive files, including Google Docs and Sheets.
- Created a structured schema for categorizing and summarizing Google Drive files to ensure valid metadata extraction.
- Enhanced the metadata extraction process by refining questions to yield actionable insights.
- Provided a solution for handling JSON parsing errors in Pandas DataFrames, ensuring robust data handling.
- Outlined key questions and schema enhancements to improve file categorization, focusing on purpose, audience, and automation.
- Categorized Google Drive documents by type, outlining their contents and usage, and suggested next steps for organization.
Achievements
- Successfully developed and refined a framework for metadata extraction and file categorization for Google Drive.
- Improved the process of extracting actionable insights from metadata.
Pending Tasks
- Further testing and implementation of the enhanced schema and AI functions in a live environment.
- Continuous refinement of categorization strategies based on user feedback and data analysis.