AI-Powered HR Automation for Smarter Hiring
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Streamline your hiring process with this AI-powered automation pipeline. Effortlessly extract candidate information from CVs, analyze qualifications, and compare against job requirements for faster, more efficient recruitment.
About This Workflow
This n8n workflow revolutionizes HR by automating the initial stages of the hiring process. It begins by capturing candidate CVs via a simple form submission. Leveraging AI, it extracts crucial information such as educational qualifications, job history, and technical skills from the uploaded PDF documents. This extracted data is then intelligently merged and summarized, allowing recruiters to quickly grasp a candidate's profile. Finally, the system compares the candidate's profile against defined 'profile wanted' criteria, with the results, along with a concise summary and key extracted details, being neatly organized and ready for review, potentially in a Google Sheet.
Key Features
- Automated CV Parsing: Extracts key information from candidate CVs (PDFs).
- AI-Powered Data Extraction: Identifies and structures educational qualifications, job history, and skills.
- Intelligent Candidate Matching: Compares extracted candidate data against specific job requirements.
- Concise Summarization: Generates brief, actionable summaries of candidate profiles.
- Streamlined Data Management: Organizes hiring data for efficient review and tracking.
How To Use
- Set up the Form Trigger: Configure the 'On form submission' node with your desired form title and fields (Name, Email, CV as PDF).
- Configure File Extraction: In the 'Extract from File' node, specify 'CV' as the binary property name to process the uploaded CV.
- Define AI Extraction: Customize the 'Qualifications' node by adjusting the system prompt and specifying the 'attributes' you wish to extract (e.g., Educational qualification, Job History, Skills).
- Set Job Requirements: Use the 'Profile Wanted' node to clearly define the ideal candidate profile, including required skills and experience.
- Configure Data Merging and Summarization: The 'Merge' node consolidates extracted data, and the 'Summarization Chain' node creates a concise summary based on your prompt and the extracted information.
- Integrate with Google Sheets: Map the desired fields from the previous nodes to the columns in your Google Sheet for organized data storage and analysis.
Apps Used
Workflow JSON
{
"id": "a6530550-235b-4eed-adf9-d239bc1d9d72",
"name": "AI-Powered HR Automation for Smarter Hiring",
"nodes": 20,
"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.
Get This Workflow
ID: a6530550-235b...
About the Author
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