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AI Agents & Assistants

Screen Resumes Against a Profile with OpenAI

When a form is submitted, it extracts resume text, summarizes qualifications with OpenAI, compares them with the wanted profile and logs to Sheets.

What it does

# HR-focused automation pipeline with AI ## Overview Automated workflow: HR-focused automation pipeline with AI. This workflow integrates 13 different services: stickyNote, formTrigger, chainLlm, merge, outputParserStructured. It contains 22 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 22 - Node Types: 13 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - On form submission: formTrigger - Extract from File: extractFromFile - Qualifications: informationExtractor - Summarization Chain: chainSummarization - Merge: merge - Profile Wanted: set - Google Sheets: googleSheets - Structured Output Parser: outputParserStructured - HR Expert: chainLlm - Personal Data: informationExtractor - ... and 12 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible

The steps

  1. On form submission
  2. Extract from File
  3. Qualifications
  4. Summarization Chain
  5. Merge
  6. Profile Wanted
  7. Google Sheets
  8. Structured Output Parser
  9. HR Expert
  10. Personal Data
  11. Upload CV
  12. OpenAI
  13. Error Handler for 77edfe2a
  14. Error Handler for 4a120e5d

17 steps in total.

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