CV Screening with OpenAI
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Automates CV screening by analyzing candidate data with OpenAI and storing results in Supabase.
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About This Workflow
Overview
This workflow automates the resume screening process using OpenAI for analysis and Supabase for structured data storage. It provides a matching score, a summary of candidate suitability, and key insights into why the candidate fits (or doesn’t fit) the job description.
Community Contributed (Unverified)
Key Features
- Downloads CVs from a direct link.
- Extracts text data from PDF or DOC files.
- Analyzes CVs with OpenAI to generate a matching score, summarize strengths/weaknesses, and provide actionable insights.
- Stores analysis and raw data in Supabase.
How To Use
- Download File: Fetch the CV using its direct URL.
- Extract Data: Use N8N's PDF or text extraction nodes to retrieve text from the CV.
- Send to OpenAI: POST to OpenAI's API for analysis, including the extracted CV data and job description. Use JSON Schema to structure the response.
- Save Results: Store the extracted data and OpenAI's analysis in Supabase for further use.
- Configure Credentials: Ensure your OpenAI API credentials are set up.
Apps Used
Workflow JSON
{
"id": "f2a29def-b9c5-4fdf-b021-0db4d7bdf1d3",
"name": "CV Screening with OpenAI",
"nodes": 0,
"category": "Recruitment Automation",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: f2a29def-b9c5...
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