📅 2024-09-16 — Session: Automated Analysis of Government Resolutions
🕒 16:30–16:45
🏷️ Labels: Automation, Government, Knowledge Graph, NLP, Project Management
📂 Project: Dev
⭐ Priority: MEDIUM
Session Goal
The session focused on developing a project to automate the extraction and analysis of government resolutions, specifically targeting a subsecretary and generating a knowledge graph.
Key Activities
- Developed a project simulation for automating the extraction of government resolutions, detailing team roles and responsibilities.
- Created a structured roadmap for task assignments over a multi-day project.
- Simulated a project focused on scraping government resolutions, utilizing NLP for data extraction, and constructing a knowledge graph.
- Outlined daily tasks for the Project Manager and Lead Developer, focusing on project goals, team roles, technical setup, and initial development steps.
- Automated PDF text extraction from URLs using Python, integrating functions for downloading and processing PDF content.
- Mapped Buenos Aires normative resolutions into a knowledge graph, detailing common entities, relationships, and challenges.
Achievements
- Successfully outlined a comprehensive project plan and simulation for automating the extraction and analysis of government resolutions.
- Established a clear framework for team roles and responsibilities.
- Developed initial scripts for PDF text extraction and knowledge graph mapping.
Pending Tasks
- Further development and testing of the automated text extraction scripts.
- Implementation of the knowledge graph mapping framework in a real-world scenario.