Intelligent Recruitment Candidate Screening Automation Workflow
This workflow is designed to automate the candidate screening process in recruitment. It utilizes intelligent parsing and evaluation of resumes, combined with job descriptions, to perform matching analysis using AI models, and provides real-time updates on application status. It supports the processing of resumes in various file formats and notifies candidates via email and WhatsApp. By integrating Google Gemini and OpenAI technologies, it achieves precise candidate matching scores, significantly enhancing recruitment efficiency and accuracy, helping companies quickly identify outstanding talent and reducing errors caused by subjective screening.
Tags
Workflow Name
Intelligent Recruitment Candidate Screening Automation Workflow
Key Features and Highlights
This workflow automatically receives candidate application data, intelligently parses and evaluates resumes, and leverages AI models to perform matching analysis against job descriptions. It autonomously determines whether candidates meet job requirements and updates application statuses in the ERPNext system in real time. It supports text extraction from resumes in PDF, Word, and image formats, incorporates built-in logic for handling multiple file types, and automates candidate notifications via Microsoft Outlook and WhatsApp. A standout feature is the integration of Google Gemini and OpenAI AI agents, enabling precise candidate matching scores with detailed rationale explanations, significantly enhancing recruitment efficiency and accuracy.
Core Problems Addressed
Traditional recruitment processes rely heavily on manual resume screening, which is time-consuming and subjective, making it difficult to quickly and accurately assess candidate-job fit. This workflow automates resume processing and uses AI to intelligently analyze candidate suitability, minimizing the risk of overlooking qualified talent and reducing unsuitable candidate consideration, thereby improving recruitment quality and efficiency.
Application Scenarios
- Automating recruitment workflows within corporate HR departments
- Enhancing resume screening efficiency for recruitment outsourcing firms
- Organizations using ERPNext as their human resource management system
- Scenarios requiring multi-channel candidate notification of recruitment outcomes
Main Process Steps
- Receive new candidate application data from ERPNext via Webhook.
- Verify the presence of resume attachments and download files (supporting PDF, Word, JPG, etc.).
- Convert resumes to text and extract key information.
- Retrieve the corresponding job description data.
- Perform matching analysis between resume text and job description using integrated Google Gemini Chat model and OpenAI AI agents, generating matching scores, suitability levels, and detailed explanations.
- Format AI analysis results into ERPNext-recognizable fields.
- Automatically update candidate status in ERPNext to “Accepted,” “Rejected,” or “On Hold” based on a scoring threshold (80 points as the passing line).
- Send status notifications to candidates via Microsoft Outlook email or WhatsApp Business Cloud messaging.
- Allow administrators to customize and extend filtering logic and data processing through code nodes.
Involved Systems and Services
- ERPNext (Human Resource Management System)
- n8n Automation Platform core nodes (Webhook, HTTP Request, Code nodes, etc.)
- File processing nodes (PDF-to-text, Word/JPG-to-text conversion)
- OpenAI agent intelligent analysis node
- Google Gemini Chat model
- Microsoft Outlook email service
- WhatsApp Business Cloud messaging
Target Users and Value
- HR recruiters: Quickly screen large volumes of resumes to improve recruitment efficiency and objectivity.
- Corporate IT automation teams: Build intelligent recruitment automation systems to reduce repetitive manual tasks.
- Enterprises using ERPNext as their HR system: Achieve seamless integration and automation upgrades in recruitment workflows.
- Organizations aiming to enhance candidate-job matching accuracy with AI: Optimize talent selection through AI-assisted decision-making.
This intelligent recruitment automation workflow was developed by Amjid Ali, combining ERPNext with advanced AI technologies to help enterprises establish efficient and intelligent talent screening systems. For support or tutorials, please contact the developer for additional resources.
Intelligent Recruitment Application Process (AI-Driven Resume Submission and Prefilled Forms)
This workflow creates an intelligent recruitment application system designed to streamline the resume submission and information extraction process. Applicants can upload their resumes through an online form, and the system automatically verifies the validity of the documents and extracts key information. Utilizing AI technology, the resume content is structured and stored in Airtable, reducing manual review and data entry, thereby improving application efficiency. Additionally, the system offers a pre-filled application form feature, enhancing user experience and making the recruitment process smoother and more convenient.
Automated Monthly Sick Leave and Vacation Summary
This workflow automates the statistics of employee sick leave and vacation days, regularly extracting absentee information from Google Calendar, intelligently categorizing it, and calculating the number of absentee days for each employee. The generated summary report is promptly sent to the payroll department, ensuring data accuracy and efficient transmission, reducing manual intervention and the likelihood of errors, and enhancing the efficiency and precision of the company's human resource management.
HR & IT Helpdesk Chatbot with Audio Transcription
This workflow provides an intelligent chatbot that integrates audio transcription and policy document analysis functions, aimed at helping corporate HR and IT departments improve service efficiency. It automatically downloads and analyzes internal policies, builds a knowledge base, and supports receiving text and voice messages via Telegram. Utilizing AI for intelligent Q&A, it also features contextual memory to ensure coherence in multi-turn conversations. This solution enhances the convenience for employees in accessing information and alleviates the pressure on human customer service representatives.
HR-Focused Automation Pipeline with AI
This workflow automates the collection and screening of resumes in the recruitment process. It utilizes AI technology to accurately extract candidates' educational backgrounds, work experiences, and skills, and provides intelligent scoring based on recruitment needs. Ultimately, all candidate information is integrated and stored in Google Sheets, significantly improving recruitment efficiency and accuracy. Through end-to-end automation, it reduces the time and errors associated with manual screening, offering HR professionals and businesses an efficient and systematic candidate management solution.
HN Who is Hiring Scrape
This workflow automatically scrapes the latest job-related posts from the Hacker News forum, filters relevant information using the Algolia Search API, and retrieves detailed content through the official Hacker News API. It utilizes the OpenAI GPT-4o-mini model to clean and structure the text, ultimately storing the organized job information in an Airtable database for easier management and future use. This process achieves automated collection and structured storage of job information, enhancing data usability and retrieval efficiency.
Resume Screener from Gmail to Sheets (Automated Resume Screening Workflow)
This workflow automates the process of retrieving new emails with attachments from Gmail, extracting text from resume PDFs, using AI for intelligent analysis to score the resumes, and extracting key information about candidates. Finally, it organizes the results and inputs them into Google Sheets. By automating these processes, it significantly enhances recruitment efficiency, reduces manual operations, and optimizes data management, making it suitable for recruitment teams and HR departments, while improving the accuracy and convenience of resume screening.
Manual Humanticai Create Webhook
This workflow primarily enables users to create, update, and retrieve profiles on the Humantic AI platform. Users can automate the extraction of information from LinkedIn, upload resumes, and generate personalized recruitment profiles through a simple manual trigger, significantly improving the efficiency and accuracy of profile management. This process is particularly suitable for recruitment teams, human resources departments, and individual career developers, addressing the challenge of updating user information in talent recruitment and management, and ensuring that profile information remains current and aligned with recruitment needs.
Automated Resume Intelligent Extraction and PDF Generation Workflow
This workflow receives user-uploaded resume PDFs via Telegram, automatically extracts key information, and utilizes AI models for structured parsing to generate uniformly formatted PDF resumes. It supports efficient multi-dimensional data classification and display, automatically formats output, reduces manual intervention, and improves resume processing efficiency. It is suitable for human resources, recruitment platforms, job seekers, and educational institutions, enabling rapid generation and management of resumes.