Introduction to AI-Powered Resume Screening
Hiring is one of the most time-intensive processes in any organization. A single job posting can attract hundreds of resumes, and manually reviewing each one takes 6-8 minutes on average. What if you could have an AI agent screen every resume the moment it arrives — scoring candidates, organizing files, and sending notifications automatically?
The Problem with Manual Resume Screening
HR teams face a crushing volume problem. Studies show that the average corporate job posting receives 250+ applications. Recruiters spend roughly 23 hours screening resumes for a single hire. This leads to inconsistent evaluations, unconscious bias from fatigue, and qualified candidates slipping through the cracks simply because their resume was reviewed at the end of a long day.
The Cost of Manual Screening
What We're Building
In this module, you'll build a fully automated HR screening pipeline using n8n. The system watches a Google Drive folder for new CVs, reads and analyzes each one using AI, scores the candidate against the job description, and takes action based on the score:
- Google Drive Trigger — Detects when a new CV is uploaded to the intake folder
- Download & Extract — Downloads the resume file and extracts text from PDF or DOCX
- Job Description Fetch — Reads the current job description from a Google Doc
- AI Screening Agent — Scores the candidate 1-10 and classifies as Accept, KIV, or Reject
- Folder Organization — Moves the CV to the appropriate folder (Accept/KIV/Reject)
- Email Notification — Sends a detailed screening report to the hiring manager
[Google Drive Trigger: New file in "Resumes/Inbox"]
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[Google Drive: Download Resume File]
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[Extract Text from PDF/DOCX]
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[Google Docs: Get Job Description]
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[AI Agent: Score & Classify Candidate]
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┌────┼────┐
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Accept KIV Reject
(8-10) (5-7) (1-4)
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[Move CV to appropriate folder]
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[Gmail: Send screening report]The complete CV screening automation architecture
Consistent & Fair Evaluation
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