AI-Powered Resume Screening and Rejection Logging
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Automate your hiring process with this advanced workflow that uses AI to screen resumes, evaluate candidates against predefined criteria, and log detailed insights, including rejection justifications, directly into Google Sheets. Streamline recruitment and maintain comprehensive applicant records.
About This Workflow
Revolutionize your talent acquisition with this sophisticated AI-powered workflow. Starting with a user-friendly n8n form for resume submissions, this automation seamlessly channels candidate data to OpenAI's powerful GPT-4o model. The AI rigorously analyzes resumes, extracting critical information like candidate summaries, job match scores, and specific fits against predefined criteria (e.g., technical skills, industry experience, leadership qualities). A structured output parser ensures all insights are consistently formatted. Crucially, it automatically identifies and logs details of rejected candidates, including the AI's detailed justification, into a designated Google Sheet. This ensures a transparent, efficient, and data-driven rejection process, saving countless HR hours and providing valuable insights for future hiring strategies.
Key Features
- Automated Resume Submission: Collect resumes (.pdf) and essential candidate contact details (name, email, phone number) via a customizable n8n form.
- Advanced AI Screening: Leverage OpenAI's GPT-4o to intelligently analyze resumes, generating comprehensive candidate summaries, job match scores, and detailed fit assessments against configurable criteria.
- Structured Data Extraction: Automatically parse AI outputs into a consistent JSON schema, capturing essential data points like education, experience, and critical company-specific fit factors.
- Intelligent Rejection Logging: Automatically log details of rejected candidates, including the AI's summary and a detailed justification, directly into a Google Sheet for comprehensive record-keeping and future analysis.
- Customizable Evaluation Criteria: Easily tailor the AI's assessment framework by modifying the structured output schema to align with your organization's unique job requirements and cultural fit.
How To Use
- Set Up the Form Trigger: Configure the "On form submission" node. Customize fields to collect resumes (accepting .pdf), names, emails, and phone numbers. This creates your public application form.
- Connect OpenAI: Add your OpenAI API credentials to the "OpenAI 4o" node. Ensure
gpt-4ois selected as the model for advanced analysis. - Define Structured Output: Customize the
jsonSchemaExamplein the "Structured Output Parser" node. Adjust this schema to precisely define the specific criteria and data points you want the AI to extract from resumes (e.g., specific skills, experience levels, cultural fit metrics). - Configure Google Sheets: Connect your Google Sheets account. In the "Google Sheets" node, specify the target spreadsheet and the "Rejected" sheet (or create a new one). Map the output data from the "Structured Output Parser" and the initial form submission to the appropriate columns in your sheet (e.g., NAME, Email, SUMMARY, JUSTIFICATION, Q1-Q5).
- Review and Test: Run test submissions through your form and verify that the AI processes the data correctly, and that all relevant information is appended to your designated Google Sheet as expected.
Apps Used
Workflow JSON
{
"id": "29c064f3-97bf-4a9e-ac56-2e9761bb61e1",
"name": "AI-Powered Resume Screening and Rejection Logging",
"nodes": 10,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 29c064f3-97bf...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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