AI-powered candidate shortlisting automation for ERPNext

Template Guide for Employee Shortlisting AI Agent Automation Overview This template automates the process of shortlisting job applicants using ERPNext, n8n, and AI-powered decision-making tools like Google Gemini and OpenAI. It reduces manual effort, ensures fast evaluations, and provides justifiable decisions about applicants. This is ideal for businesses aiming to streamline their recruitment process while maintaining accuracy and professionalism. - YouTube Tutorial: For a full walkthrough of this template, visit: Integrate AI in ERPNext: Automate Recruitment Job Applicant Shortlisting in Seconds! --- What Does This Template Do? 1. Webhook Integration with ERPNext: Automatically triggers the workflow when a job application is created in ERPNext. 2. Resume Validation: Ensures resumes are attached and correctly processes various file formats like PDF and DOC. 3. AI-Powered Evaluation: Uses AI to compare resumes against job descriptions and provides a: - Fit Level (Strong, Moderate, or Weak) - Score (0–100) - Justification for the decision. 4. Automated Decision Making: Based on AI-generated scores: - Candidates with a score of 80 or higher are Accepted. - Candidates below 80 are Rejected. - Applications missing required fields or attachments are put On Hold. 5. ERPNext Integration: Updates applicant records in ERPNext, including custom fields such as justification, fit level, and scores. 6. Notifications: Notifies candidates via email, WhatsApp, or SMS about their application status. --- Step-by-Step Guide Step 1: Set Up ERPNext Webhook - Go to Webhooks in ERPNext. - Create a webhook for the Job Applicant DocType. - Set the trigger to Insert. - Pin and test the webhook to ensure proper data flow. Step 2: Import the Template into n8n - Open your n8n instance. - Import the provided workflow template. - Check all nodes for proper configuration. Step 3: Configure Credentials - Add your ERPNext API credentials to the ERPNext nodes. - Add credentials for AI services like OpenAI or Google Gemini. - Configure additional services like WhatsApp or email if you plan to use them for notifications. Step 4: Test Resume Validation - Test how the workflow handles different file types (e.g., PDF, DOC, JPG). - Ensure resumes without the proper format or attachment are flagged and rejected. Step 5: AI Evaluation - The AI model (Google Gemini or OpenAI) will evaluate resumes against job descriptions. - Customize the AI prompt to suit your job evaluation needs. - The output will include a Fit Level, Score, Rating, and Justification. Step 6: Decision Automation - The workflow automatically categorizes applicants: - Accepted for scores ≥ 80. - Rejected for scores < 80. - On Hold if essential fields or attachments are missing. Step 7: Update ERPNext Records - The workflow updates the Job Applicant record in ERPNext with: - Status (Accepted, Rejected, On Hold) - AI-generated Fit Level, Score, Rating, and Justification. Step 8: Notify Candidates - Configure notification nodes (email, WhatsApp, or SMS). - Inform candidates about their application status and include feedback if required. --- How It Works 1. Trigger: The workflow starts when a job application is submitted in ERPNext. 2. Validation: Checks if the resume is attached and in the correct format. 3. AI Evaluation: Compares the resume with the job description and generates a decision. 4. ERPNext Update: Updates the applicant's record with the decision and justification. 5. Notification: Sends a personalized notification to the candidate. --- Dos and Don’ts Dos: - Customize Prompts: Tailor the AI prompt to match your specific job evaluation requirements. - Test the Workflow: Run sample data to ensure the process works as intended. - Secure Your Credentials: Keep your API credentials safe and do not share them publicly. - Optimize for Different Formats: Ensure the workflow can handle all types of resumes you expect. Don’ts: - Avoid Manual Intervention: Let the workflow handle most of the tasks