📅 2025-03-02 — Session: Enhanced Google Drive Metadata and File Organization
🕒 19:10–20:15
🏷️ Labels: Google Drive, Metadata, Automation, File Organization, AI
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal:
The session aimed to enhance the metadata extraction and file organization processes in Google Drive, leveraging AI and automation.
Key Activities:
- Managing Files in Google Drive: Explored methods to manage files in ‘Shared with Me’ and maintain access control.
- AI Metadata Extraction: Developed an AI wrapper function to extract structured metadata from Google Drive files, including Google Docs and Sheets.
- File Organization Schema: Created a structured schema for categorizing and summarizing Google Drive files to ensure valid metadata extraction.
- Metadata Enhancement: Refined the metadata extraction process to ask better questions for actionable insights, improving the schema for document categorization.
- JSON Parsing in DataFrame: Addressed JSON parsing errors in Pandas DataFrames to handle string values and parsed dictionaries effectively.
- File Categorization Enhancement: Planned schema enhancements to improve file categorization based on purpose, audience, and automation.
- Document Categorization: Categorized Google Drive documents, outlining their contents, usage, and suggested organization steps.
Achievements:
- Developed a comprehensive schema for Google Drive file organization and metadata extraction.
- Implemented AI-driven solutions for efficient metadata management and file categorization.
- Improved error handling in data processing with Pandas.
Pending Tasks:
- Further refine the schema for metadata extraction and categorization based on user feedback and testing.
- Implement automation scripts for enhanced file categorization and metadata extraction in Google Drive.