ERPNext Job Applicant Screening with AI
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Automatically screens job applicants from ERPNext using AI, updating their status and providing feedback.
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About This Workflow
Overview
This workflow automates the initial screening of job applicants submitted via ERPNext. It leverages AI to review applicant data against job opening descriptions, assigns a suitability score and rating, and updates the applicant's status in ERPNext. This streamlines the recruitment process by quickly identifying potential candidates and flagging those who may not be a good fit.
Key Features
- Triggered by new job applicants in ERPNext.
- Utilizes AI to assess applicant fit based on job descriptions.
- Assigns a 'FitLevel', 'Score', and 'Rating' to each applicant.
- Provides a justification for the AI's assessment.
- Updates applicant status in ERPNext (e.g., 'Hold', 'Rejected').
- Handles cases where job openings are not specified.
How To Use
- Configure ERPNext Webhook: Set up a webhook in ERPNext to trigger on 'Job Applicant' document insertion. Ensure the webhook sends the applicant data.
- Set Up Credentials: Configure your ERPNext API credentials and Google Gemini API credentials in n8n.
- Review and Adjust AI Prompt: Modify the prompt in the 'Google Gemini Chat Model' node to fine-tune the AI's screening criteria and output format.
- Map AI Output: Ensure the 'Convert to Fields' node correctly parses the AI's output into the desired fields for ERPNext.
- Test and Deploy: Thoroughly test the workflow with sample applicants before deploying it to production.
Apps Used
Workflow JSON
{
"id": "cff4e589-99f8-468f-bde4-c90570f7d122",
"name": "ERPNext Job Applicant Screening with AI",
"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: cff4e589-99f8...
About the Author
DevOps_Master_X
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Specializing in CI/CD pipelines, Docker, and Kubernetes automations.
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