Automate CV screening and applicant scoring from Gmail to Airtable with AI

How It Works

1. Trigger
   Watches for new emails with attachments in a Gmail label.
2. Extract Data
   • Extracts job code from the email subject (e.g., FN-001)
   • Extracts raw text from the attached CV (PDF)
3. AI Parsing
   Uses Google Gemini to parse the CV and extract:
   • Name
   • Email
   • Years of experience
   • Skills
4. Job Lookup
   Uses the extracted job code to retrieve job details from Airtable.
5. AI Scoring
   • Compares applicant data with job requirements
   • Scores from 1–100
   • Generates a brief reasoning summary (in Bahasa Indonesia)
6. Log to Airtable
   Saves applicant data, score, and AI notes to the "Applications" table.

Setup Instructions

1. Prepare Airtable Base
   • Job Posts Table
     • Columns: Job Code, Job Title, Required Skills, Minimum Experience, Job Description
   • Applications Table
     • Columns: Applicant Name, Email, Score, Notes
     • Include a linked field to the Job Posts table
2. Add Credentials in n8n
   • Gmail
   • Google AI (Gemini)
   • Airtable
3. Configure Nodes
   • Trigger: Set Gmail filter (e.g., label:job-applications)
   • Extract Job Code: Verify regex format, default is ([A-Z]{2}-\d{3})
   • Airtable Nodes: Select your base and table in:
     • "Find Job Post..."
     • "Save Applicant..."
4. Activate Workflow
   • Save and enable the workflow
   • New applications will be processed automatically