Automated AI-Powered CV Screening and Applicant Scoring from Gmail to Airtable

Overview

This workflow automates the end-to-end process of screening job applications received via Gmail, leveraging AI for parsing and scoring, and storing results in Airtable.

Key Features

• Automated Email Trigger: Monitors Gmail for new job applications.
• AI-Powered CV Parsing: Extracts and reads CVs (PDFs) using advanced AI models (Google Gemini) for accurate data extraction.
• Job Matching: Identifies job codes and matches applications to relevant job postings.
• Applicant Scoring: Utilizes AI to objectively score candidates based on extracted CV data and job requirements.
• Centralized Data Storage: Automatically updates Airtable with parsed applicant information and scores.

Benefits

• Efficiency: Eliminates manual CV screening, saving significant HR time.
• Consistency: Ensures objective and standardized applicant evaluation.
• Seamless Integration: Connects Gmail, AI models, and Airtable for a unified workflow.
• Scalability: Handles high application volumes with minimal human intervention.

Use Cases

• HR teams seeking to automate applicant screening and scoring.
• Organizations aiming to improve hiring efficiency and reduce bias.
• Businesses needing structured applicant data for analytics and reporting.