Automate Bulk Resume Screening and JD Matching

How It Works

HR or talent acquisition uploads multiple candidate resumes and selects a job role. The workflow stores each resume in Google Drive, parses it with GPT-4 to extract structured profile data, then retrieves the matching job description from Google Sheets and Drive. An AI agent compares the profile against the JD to produce a fit score, a strengths and gaps analysis, and a final recommendation. Results are appended to an evaluation tracking sheet and shared with the hiring team on Slack.

Setup Steps

1. Import the Workflow: Clone or import the workflow into your n8n instance (self-hosted or cloud).
2. Connect Google Services: Link Google Sheets for position mapping and evaluation results, and Google Drive for CV and JD file storage.
3. Configure OpenAI API: Add your GPT-4 API credentials to the profile parser and JD evaluator agent nodes.
4. Set Up Slack Notifications: Connect your Slack workspace bot token to receive candidate evaluation alerts.
5. Prepare Drive Folders: Create a /cv folder for uploaded resumes and a /jd folder for job description PDFs.
6. Update Sheets Structure: Configure the Positions sheet to map job roles to JD file links, and the Evaluation form sheet to store screening results.

Video Walkthrough

Automation Workflow

Upload Resumes → Google Drive Storage
                       ↓
               GPT-4 Resume Parser → Structured Profile Data
                       ↓
            Google Sheets → Retrieve Job Description
                       ↓
               JD Download and Parse from Drive
                       ↓
            AI Agent: Profile vs. JD Evaluation
              (Fit Score + Strengths + Gaps)
                       ↓
             ┌─────────┴──────────┐
       Candidate Qualified    Not Qualified
             ↓                      ↓
       Log to Sheets          Log to Sheets
       Notify on Slack        Send Rejection Email
       Send Invite Email

Benefits

• Time Savings: Process dozens of resumes in minutes instead of hours of manual review.
• Consistent Evaluation: Every candidate is scored against the same criteria, reducing subjective bias in initial screening.
• Structured Output: Fit scores, strengths, and gaps are logged to Google Sheets for easy comparison and auditing.
• Real-Time Team Updates: Slack notifications keep hiring managers informed as evaluations complete.
• Scalable Pipeline: Handle multiple open positions by adding new job descriptions to the Positions sheet.

Advanced Features

• Configurable fit score threshold in the Candidate qualified? node to control shortlisting sensitivity.
• Automatic email routing sends interview invitations to qualified candidates and polite rejections to others.
• Swap GPT-4 for Claude or Gemini without changing the workflow structure.
• Webhook trigger option for direct ATS or job board integration.
• Multi-position batch screening by expanding the Positions sheet with additional roles.

Use Cases

• HR teams screening 50+ applicants per open role and needing a ranked shortlist within hours.
• Staffing agencies matching contractor profiles against multiple client job descriptions simultaneously.
• Startups without a dedicated recruiter that need AI-assisted first-pass candidate filtering.
• Talent acquisition leads who want auditable evaluation records for compliance or internal review.
• Remote-first companies processing international resumes across different formats and languages.