AI-Powered CV Parsing and Candidate Scoring

Name: AI-Powered CV Parsing and Candidate Scoring
Rating: 5 (5 reviews)
Author: Free N8N

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RecruitmentAIAutomationCV ParsingEmailOpenAIRecruitmentWebhook

Automate CV screening, score candidates using AI, and trigger follow-up actions based on their suitability.

About This Workflow

This workflow leverages n8n and OpenAI's GPT-4 to automate the initial stages of the recruitment process. It starts by receiving CV submissions via a webhook, then uses AI to parse the CV content, extracts key information, and scores the candidate against predefined job requirements. Based on the scoring, it triggers appropriate actions such as alerting HR for top candidates, sending interview invitations, or sending rejection emails. This significantly reduces manual effort and speeds up the hiring process.

Key Features

Automated CV Ingestion: Receives CV submissions through a webhook.
AI-Powered CV Parsing: Utilizes OpenAI's GPT-4 to extract structured data (name, email, skills, experience, education, previous roles) from CVs.
Configurable Job Requirements: Defines essential skills, minimum experience, and passing scores.
Intelligent Candidate Scoring: Calculates a score based on skills match, experience, education, and role relevance with configurable weights.
Automated Decision Making: Automatically categorizes candidates into 'hire', 'interview', 'phone_screen', or 'reject' based on their score.
Conditional Actions: Triggers specific actions based on the candidate's evaluation:
- Alerts HR for top candidates.
- Sends interview invitations to suitable candidates.
- Sends rejection emails to unqualified candidates.
Customizable Email Templates: Uses HTML email templates for clear and professional communication.

How To Use

Set up the CV Submission Webhook: Configure the webhook path (cv-received) to receive POST requests with CV content.
Configure Job Requirements:
- Set minExperience (e.g., 5 years).
- Define passingScore (e.g., 75).
- List requiredSkills (comma-separated, e.g., "JavaScript,React,Node.js,Python").
- Optionally, add hrEmail for HR notifications.
Configure Parse CV with AI:
- Ensure you have an OpenAI API key set up in n8n credentials.
- The messages.user.content will dynamically insert the cv_content from the webhook.
Review Score Candidate jsCode: Understand the scoring logic and adjust weights or criteria if needed.
Configure IF nodes (Check If Top Candidate, Check If Interview Worthy, Check If Rejected): These nodes branch the workflow based on the recommendation output from the Score Candidate node.
Configure Email Nodes (Alert HR Team, Send Interview Invitation, Send Rejection Email):
- Ensure Gmail credentials are set up in n8n.
- Customize sendTo addresses and email subject and message content as needed, using expressions to pull data from previous nodes.
- The HTML templates can be further customized for branding and tone.
Test the workflow: Submit a sample CV via the webhook and monitor the execution path and outputs.

Apps Used

Automation

CV Parsing

OpenAI

Recruitment

Webhook

Workflow JSON

{
  "id": "a1e28b77-ac36-4c72-98b6-58fb4b0641bb",
  "name": "AI-Powered CV Parsing and Candidate Scoring",
  "nodes": 26,
  "category": "Recruitment",
  "status": "active",
  "version": "1.0.0"
}

Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.