Developed Intelligent Module for Opportunity Extraction

• Day: 2025-04-06
• Time: 18:30 to 18:45
• Project: Dev
• Workspace: WP 1: Strategic / Growth & Development
• Status: In Progress
• Priority: MEDIUM
• Assignee: Matías Nehuen Iglesias
• Tags: Automation, Opportunities, AI, Python, Networking

Description

Session Goal

The session aimed to develop an intelligent module for extracting, classifying, and scoring postdoc and collaboration opportunities from institutional websites, with a focus on automation and networking.

Key Activities

• Planning and Execution: Developed a roadmap for an AI-driven system to crawl institutional websites, focusing on opportunity extraction and lead prioritization.
• System Design: Outlined a modular system for opportunity management, including smart filtering and workflow enhancement.
• Data Processing: Implemented a structured approach to process institutional screenshots, parsing subpages into categories and clustering relevant information.
• Opportunity Exploration: Investigated collaboration opportunities with iNOVA Media Lab and other European research centers, aligning them with Matías’s interdisciplinary background.

Achievements

• Established a clear framework for an automated opportunity-seeking system.
• Identified potential collaboration projects with iNOVA Media Lab and other institutions.
• Developed a method for processing and analyzing institutional data efficiently.

Pending Tasks

• Further development and integration of the automated module for opportunity extraction.
• Manual evaluation of identified opportunities for alignment with personal goals.

Evidence

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