AI CV Screening and Metadata Generation

Name: AI CV Screening and Metadata Generation
Rating: 5 (5 reviews)
Author: Free N8N

Intermediate

14 nodes connected

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RecruitmentAIAutomationCV ScreeningGoogle GeminiHRLangchainMetadataRecruitment

Automated CV screening using AI, generating structured metadata in English and Chinese, and notifying relevant parties.

About This Workflow

This workflow automates the process of screening candidate CVs submitted via a web form. It leverages AI to analyze the CV against a job description, generates a compatibility rating, and then produces structured metadata for the candidate. This metadata is then used to populate a Google Sheet, send notifications to HR, and confirm receipt to the applicant. The workflow is designed to handle PDF CVs and ensures structured output in both English and Chinese for AI analysis.

Key Features

Web Form Submission Trigger: Initiates the workflow when a candidate submits their CV and details through a form.
PDF CV Parsing: Extracts text content from uploaded PDF CVs.
AI-Powered Analysis: Utilizes Google Gemini (via Langchain) to analyze the CV against a job description, providing a compatibility rating and recommendation.
Multilingual AI Prompting: The AI prompt is designed to generate output in a specified language, supporting multilingual metadata generation.
Structured Metadata Generation: Creates consistent metadata from candidate applications and AI analysis.
Google Sheets Integration: Appends candidate information and AI ratings to a Google Sheet for tracking.
Email Notifications: Sends automated emails to HR for new CVs and to candidates confirming submission.

How To Use

Configure Application Form: Set up your web form with fields for Full Name, E-mail, Expectation, Linkedin, and a file upload for 'Your Resume/CV' (accepting .pdf).
Set up Google Gemini Chat Model: Ensure your Google Gemini API credentials are correctly configured.
Configure Convert Binary to Json: Point this node to the binary property name of your CV upload ('Your_Resume_CV').
Configure Using AI Analysis & Rating:
- The text parameter should reference the extracted CV text from the previous node (={{ $json.text }}).
- The messages.messageValues[0].message contains the AI prompt. Crucially, the placeholder ${output_language} is used. To generate metadata in English and Chinese, this workflow would need to be duplicated or modified to run the AI analysis twice with different output_language values (e.g., 'English' and 'Chinese').
- Ensure the output_language variable is appropriately set either through an environment variable, another node, or by manually editing the prompt for each desired language.
Configure Candidate Lists: Link this to your Google Sheet document and sheet name, mapping the desired fields.
Configure Inform HR New CV Received: Set the recipient email address for HR notifications and customize the message.
Configure Confirmation of CV Submission: Ensure the sendTo and message fields are set up to email the candidate.

Apps Used

Automation

CV Screening

Google Gemini

Langchain

Metadata

Recruitment

Workflow JSON

{
  "id": "225344ea-3649-46d7-97c0-01ce58c1d6e7",
  "name": "AI CV Screening and Metadata Generation",
  "nodes": 14,
  "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.