Automate Resume Screening & Behavioral Interviews with n8n & AI

Discover how this unique n8n workflow automates resume screening and behavioral interview evaluation using Google Gemini, ElevenLabs, and Notion ATS, saving hours of manual recruiting work and enhancing hiring precision.
formTrigger
googleDrive
extractFromFile
+9
Workflow Identifier: 1097
NODES in Use: formTrigger, googleDrive, extractFromFile, informationExtractor, chainSummarization, notion, chainLlm, set, merge, googleSheets, webhook, httpRequest

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What this workflow does

This workflow automates the hiring process from job application to interview review.

It solves the problem of slow, manual resume screening and interview evaluation.

The result is faster candidate selection with AI helping analyze resumes and interviews.


Who should use this workflow

Recruitment managers at growing companies with many job openings.

Teams needing to save time sorting resumes and assessing candidates.

Users working with Notion as an ATS and storing files in Google Drive and Sheets.


Tools and services used

  • n8n: Automates workflow triggered by online form submissions.
  • Google Drive: Stores uploaded resumes and interview audio files.
  • Google Sheets: Logs candidate data and AI assessment scores.
  • Notion: Holds the ATS database with job descriptions and applicant records.
  • Google Gemini API: Extracts and summarizes resume content and job descriptions.
  • ElevenLabs API: Runs AI-based behavioral interviews and sends transcripts.
  • Webhook node: Receives interview transcripts and evaluation data.

How the workflow works (Inputs → Processing → Outputs)

Inputs

  • Applicants submit job applications via embedded online forms.
  • Each application includes name, email, a PDF resume file, and a hidden job code.
  • AI-based behavioral interviews generate audio and textual evaluation data.

Processing Steps

  • Upload resumes: Resume PDF files upload to Google Drive with unique file IDs.
  • Extract text: Text content is pulled from resumes using a PDF extractor node.
  • Parse data: AI extracts structured details like education, skills, and experience from resumes.
  • Summarize profiles: Google Gemini makes short candidate summaries.
  • Retrieve job descriptions: Notion is queried to get job details by matching job codes.
  • Summarize jobs: Job descriptions are shortened using AI for easier comparison.
  • Score resumes: AI compares candidate summaries with job descriptions to give scores and explanations.
  • Save data: Candidate info and scores are saved to Google Sheets and new Notion pages.
  • Embed resumes: Links to stored resumes are added to Notion applicant records.
  • Receive interviews: Behavioral interview transcripts and evaluations come via webhook.
  • Match applicant: Phone numbers link interview data to the right Notion record.
  • Update records: Add interview scores, summaries, and transcript audio files to Notion.
  • Store audio: Interview audio downloads from ElevenLabs and uploads to Google Drive.

Outputs

  • Up-to-date Notion ATS database pages for each applicant with all resume and interview details.
  • Google Sheets logs for compliance and audit trails.
  • Google Drive folders holding resumes and interview audio files accessible from Notion.
  • AI-generated resume and interview scores helping hiring managers decide faster.

Beginner step-by-step: How to use this workflow in n8n

Step 1: Import the workflow

  1. Use the Download button on this page to get the workflow file.
  2. Inside the n8n editor, click Import and select “Import from File”.
  3. Choose the downloaded workflow file to load it.

Step 2: Configure settings

  1. Add required API credentials for Google Drive, Google Sheets, Notion, Google Gemini, and ElevenLabs.
  2. Update any IDs or folder names for Google Drive and Notion databases if needed.
  3. Set email addresses or notification channels if applicable.

Step 3: Test and activate

  1. Run a test submission using one of the form triggers to check that resumes upload and AI extraction works.
  2. Make sure the data appears in Google Sheets and Notion correctly.
  3. Activate the workflow to run automatically on new form submissions.

For users preferring full control, consider hosting the workflow on your own server with self-host n8n.


Edge cases and failure points

  • If resume text does not extract, the PDF may be a scanned image — try OCR or request clear PDFs.
  • Notion API errors can happen with too many queries — check IDs and add delays.
  • AI API failures may occur from missing keys or usage limits — verify credentials and plan status.

Customization ideas

  • Add more form triggers to collect applications for additional job roles.
  • Edit AI prompts to change how resumes and interviews are scored or summarized.
  • Switch Google Drive nodes to other cloud storage like Dropbox if preferred.
  • Change interview scoring scales by updating AI Chain prompts and parsers.
  • Automate interview scheduling by linking Notion actions to calendar invites.

Summary of results

✓ Save hours daily screening resumes.

✓ Keep detailed candidate records in Notion and Sheets.

✓ Use AI to score resumes and interviews consistently.

✓ Provide hiring managers with dashboards containing all info and recordings.


Frequently Asked Questions

Yes, but prompt formats and data handling might need to be changed to fit the GPT API structure.
Yes, AI calls for many candidates can add up, so it is important to monitor usage and optimize prompt length.
Yes, data is transferred over secure APIs and stored with limited access in Notion and Google services.
Text extraction will fail. Use OCR tools or ask applicants to submit searchable PDF resumes.

Promoted by BULDRR AI

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