process_resume_skill

What problem does it solves?

This Skill eliminates the tedious, manual process of reviewing candidate resumes to extract core information. It automates data entry and ensures consistent, structured data extraction from diverse PDF formats, including scanned documents, saving countless hours for HR and recruitment teams.

Core Features & Use Cases

• AI-Powered Resume Processing: Leverages the Gemini API to directly process PDF resumes (both text-based and image-based) without prior text extraction.
• Key Information Extraction: Accurately extracts essential candidate details: Name, Gender, Country of Nationality, and Under-Represented Region (URR) status.
• Structured Data Output: Saves all extracted information into a clean, organized CSV file, ready for further analysis, filtering, or integration into other systems.
• Diversity Identification: Automatically flags candidates from predefined Under-Represented Regions, aiding in diversity and inclusion initiatives.
• Use Case: Process a folder containing hundreds of candidate resumes overnight. Wake up to a comprehensive CSV file detailing each candidate's key demographics, allowing your recruitment team to focus on qualitative assessments rather than data entry.

Quick Start

Process all PDF resumes in the /path/to/resume/folder and extract candidate name, gender, nationality, and URR status into a CSV file.