📅 2025-03-04 — Session: Document Management and Optimization Strategies
🕒 00:10–02:50
🏷️ Labels: Google Drive, AI, Document Management, Workflow Optimization, Metadata Extraction
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session aimed to enhance document management and optimization strategies across various domains, including Google Drive, AI document classification, and workflow integration.
Key Activities
- Google Drive Storage Analysis: Conducted a detailed analysis of file types and sizes stored in Google Drive, identifying anomalies and suggesting actionable steps for optimization.
- Pandas DataFrame Conversion: Developed a Python function to convert file sizes in a DataFrame to a human-readable format.
- Documentation Structuring: Outlined strategies for categorizing and improving documentation, focusing on wikis, SOPs, and policies.
- AI Document Classification: Planned AI-driven document classification and metadata extraction for workflow optimization.
- Consultant Insights: Reflected on consultant insights regarding scalable workflow creation and process standardization.
Achievements
- Developed a comprehensive plan for document organization and workflow integration.
- Enhanced AI prompts for document classification and metadata extraction.
- Evaluated and refined datasets for improved workflow categorization.
Pending Tasks
- Implement the structured document organization plan.
- Continue refining AI prompts and metadata schemas based on feedback.
Labels
Google Drive, AI, Document Management, Workflow Optimization, Metadata Extraction