Save time hiring with AI: automate screening, assessments & interviews

AI Recruitment Automation Pipeline – Resume Parsing, GPT-4 Evaluation, Assessment Triggers & Interview Scheduling

This end-to-end AI-powered recruitment automation workflow helps HR and talent acquisition teams automate the complete hiring pipeline—from resume intake and parsing to GPT-4-based evaluation, TA approvals, assessment delivery, and interview scheduling.

Built using n8n, this template integrates with OpenAI GPT-4, Google Sheets, Google Drive, Slack, and SMTP to reduce time-to-hire, improve candidate quality, and eliminate repetitive manual tasks. The workflow enables scalable, consistent, and intelligent decision-making by automating resume evaluation, semantic fit analysis, and candidate communication.

This template is ideal for recruiters, TA teams, and founders looking to optimize hiring for tech, sales, support, and other roles with high applicant volume.

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Who is this for?

• HR and TA teams handling high-volume recruitment
• Startups and SMBs looking to reduce hiring time and cost
• Hiring managers seeking to automate CV parsing and candidate evaluation

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What problem does this solve?

• Eliminates manual resume screening
• Sends real-time updates to TA team on assessment completion
• Automates assessments, scoring, and interview scheduling
• Keeps candidate communication consistent and timely

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What this workflow does

Smart Resume Intake Form

• Collects candidate data: name, email, phone, LinkedIn, job role, and CV (PDF).
• Custom-designed UI with branding-ready CSS.

PDF Resume Parsing & Storage

• CV is uploaded to a dedicated Google Drive folder.
• Resume text is extracted for semantic analysis.

AI-Based Candidate Evaluation (GPT-4 via LangChain)

• Extracts: City, Education, Job History, Skills.
• Summarizes candidate profile (100 words).
• Retrieves and summarizes job description from Google Sheets.
• Performs detailed evaluation:
  • ✅ Semantic fit scoring (0–100%)
  • ✅ Key matches and skill gaps
  • ✅ Soft skills extraction
  • ✅ Red flag detection (job-hopping, missing info)
  • ✅ Final score (1–10) with rationale

Google Sheets Integration

• Logs and updates candidate data at each stage: CV Submitted → Scored → Shortlisted → Assessment Sent → Interview Scheduled → Rejected

TA Approval via Email (Send & Wait)

• TA receives evaluation summary and gives one-click approve/reject.
• ✅ Approved → Status: Resume Selected
• ❌ Rejected → Status: Resume Rejected

Assessment Trigger (Post Approval)

• Sends assessment link to shortlisted candidates.
• Notifies TA via Slack and Email when assessment is submitted.

Interview Scheduling

• Sends Calendly link for self-scheduled interview booking.
• Candidate receives detailed next-step instructions.

Status-Based Candidate Emails

• Automatically sends:
  • ✔️ Shortlisting confirmation + interview setup
  • ❌ Rejection email with branded message

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Business Benefits

• Save 80%+ time spent on manual resume reviews and coordination
• Reduce cost-per-hire by eliminating manual tasks
• Improve hiring accuracy with structured, AI-based decision-making
• Scalable recruitment for 100s of candidates per week
• Enhance candidate experience with instant status updates
• Centralize data in Google Sheets for full team visibility

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🔧 Setup Instructions

1. Google Service Account Setup (One-Time)

Before using Google Sheets or Google Drive in n8n:

• Go to Google Cloud Console.
• Create a Service Account under your project.
• Enable these APIs:
  • Google Sheets API
  • Google Drive API
• Download the JSON credentials for the service account.
• IMPORTANT:
  Share your target Google Sheets and Docs with the service account email
  (e.g., [email protected]).

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Add Applicant's Details to Google Sheet

• Document: Select the Profiles Google Sheet document.
• Sheet: Select the Applicant's Details sheet.
• Fields to Map:
  • EMAIL: {{ $('On form submission').item.json.Email }}
  • DATE: {{ $now.format('dd-MM-yyyy') }}
  • NAME: {{ $('On form submission').item.json.Name }}
  • LINKEDIN URL: {{ $('On form submission').item.json["LinkedIn Profile URL"] }}
  • JOB PROFILE: {{ $('On form submission').item.json["Job Openings"] }}
  • STATUS: CV SUBMITTED
  • LAST UPDATED DATE: {{ $now.format('dd-MM-yyyy hh:mm:ss') }}

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Extract Applicant's Resume Text

• Text:
  {{ $('Extract from File').item.json.text }}

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Get Job Description from Google Sheet

• Document: Profiles
• Sheet: Job Openings
• Filter:
• Column: Job Profile
• Value: {{ $('On form submission').item.json["Job Openings"] }}

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Save Evaluation Results in Google Sheets

• Document: Profiles
• Sheet: Applicant's Details
• Column Match On: EMAIL
• Fields to Map:
• EMAIL: {{ $('On form submission').item.json.Email }}
• CITY: {{ $('Applicant\'s Details').item.json.output.City }}
• EDUCATIONAL: {{ $('Applicant\'s Details').item.json.output["Educational Qualification"] }}
• JOB HISTORY: {{ $('Applicant\'s Details').item.json.output["Job History"] }}
• SKILLS: {{ $('Applicant\'s Details').item.json.output.Skills }}
• SUMMARIZE: {{ $('Summarize Applicant\'s Profile').item.json.response.text }}
• SEMANTIC FIT SCORE: {{ $json.output.semantic_fit.score }}
• KEY MATCHES: {{ $json.output.semantic_fit.key_matches.toJsonString() }}
• KEY GAPS: {{ $json.output.semantic_fit.key_gaps.toJsonString() }}
• SEMANTIC FIT CONSIDERATION: {{ $json.output.semantic_fit.consideration }}
• SOFT SKILLS: {{ $json.output.soft_skills.toJsonString() }}
• EXPERIENCE GAP DETECTED: {{ $json.output.experience_analysis.experience_gap_detected }}
• OVER QUALIFICATION DETECTED: {{ $json.output.experience_analysis.overqualification_detected }}
• EXPERIENCE ANALYSIS CONSIDERATION: {{ $json.output.experience_analysis.consideration }}
• RED FLAGS ISSUES DETECTED: {{ $json.output.red_flags.issues_detected.toJsonString() }}
• RED FLAGS CONSIDERATION: {{ $json.output.red_flags.consideration }}
• VOTE: {{ $json.output.overall_evaluation.final_vote }}
• FINAL CONSIDERATION: {{ $json.output.overall_evaluation.consideration }}
• STATUS: CV SCORED
• LAST UPDATED DATE: {{ $now.format('dd-MM-yyyy hh:mm:ss') }}

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Update Applicant Statuses

Resume Selected

• Document: Profiles
• Sheet: Applicant's Details
• Column Match On: EMAIL
• Update:
• STATUS: RESUME SELECTED
• LAST UPDATED DATE: {{ $now.format('dd-MM-yyyy hh:mm:ss') }}

Resume Rejected

• Update:
• STATUS: RESUME REJECTED
• LAST UPDATED DATE: {{ $now.format('dd-MM-yyyy hh:mm:ss') }}

Assessment Sent

• Email: {{ $('Loop to Send Assessment Link to Each Candidate').item.json.EMAIL }}
• Update:
• STATUS: ASSESSMENT SENT
• LAST UPDATED DATE: {{ $now.format('dd-MM-yyyy hh:mm:ss') }}

Assessment Submitted

• Email: {{ $json["Enter Your Email Address"] }}
• Update:
• STATUS: ASSESSMENT SUBMITTED
• LAST UPDATED DATE: {{ $now.format('dd-MM-yyyy hh:mm:ss') }}

Interview Booked

• Email: {{ $json.payload.email }}
• Update:
• STATUS: INTERVIEW BOOKED
• LAST UPDATED DATE: {{ $now.format('dd-MM-yyyy hh:mm:ss') }}

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Fetch Applicants with Specific Status

Status: RESUME SELECTED

• Document: Profiles
• Sheet: Applicant's Details
• Filter:
• Column: STATUS
• Value: RESUME SELECTED

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Get Assessment Form URL from Job Profile

• Document: Profiles
• Sheet: Job Openings
• Filter:
• Column: Job Profile
• Value: {{ $json["JOB PROFILE"] }}

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Trigger on Applicant Status Update

• Document: Profiles
• Sheet: Applicant's Details
• Trigger Settings:
• Columns to Watch: STATUS

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⚠️ Important Notes

• Always use “Select Document from List” instead of manually pasting the sheet/document ID.
• Share your Sheets/Docs with the Google Service Account email for proper access.
• Keep your date formats consistent using {{ $now.format('dd-MM-yyyy hh:mm:ss') }}.

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1. Add credentials for:
   • Google Drive
   • Google Sheets
   • SMTP (for emails)
   • OpenAI API Key (GPT-4)
2. Replace placeholders:
   • Google Sheet & Folder IDs
   • Calendly Link
   • Assessment Link
3. (Optional) Customize GPT-4 prompts for domain-specific scoring
4. (Optional) Use your Slack webhook for TA notifications

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🛠️ Tools & Integrations

• Form Trigger – Candidate form with file upload
• Google Drive + Extract PDF – CV parsing
• Google Sheets – Database for all applicant statuses
• LangChain GPT-4 Nodes – AI profile + job analysis
• Email Send & Send & Wait – Candidate/TA communication
• IF Node – Logic for approve/reject
• Slack Integration – TA notification
• Calendly Link – Interview scheduling

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