AI CV Screening Workflow
This workflow utilizes AI technology to automatically screen and score candidates' resumes, intelligently matching and analyzing resumes against job descriptions to generate compatibility scores and interview recommendations. At the same time, it automatically sends confirmation emails to candidates and records the information and scores in Google Sheets for easy HR management. This system effectively reduces the time and misjudgments associated with manual initial screening, improving recruitment efficiency and accuracy, particularly suitable for handling a large volume of resumes for technical positions.
Workflow Name
AI CV Screening Workflow
Key Features and Highlights
This workflow enables AI-driven automatic resume screening and scoring by leveraging the Google Gemini AI language model to intelligently analyze and match candidate resumes against job descriptions. It automatically generates compatibility scores and interview recommendations. Additionally, the system sends confirmation emails to candidates and consolidates candidate information along with AI scores into Google Sheets for streamlined HR management and rapid filtering.
Core Problems Addressed
Automates the processing of large volumes of resumes, reducing manual initial screening time and errors, thereby improving recruitment efficiency and accuracy. Through AI-powered deep analysis of resume-to-job fit, it assists HR in making more informed interview decisions and prevents overlooking high-quality candidates.
Application Scenarios
Ideal for recruitment processes in IT, software engineering, and other technical roles—especially in environments with high recruitment demand and large numbers of resumes. It helps corporate HR teams quickly identify suitable candidates, enhancing both recruitment quality and speed.
Main Process Steps
- Candidates submit application forms online, including personal information and resumes in PDF format.
- The system converts uploaded PDF resumes into JSON text format.
- Using the Google Gemini Chat Model combined with custom rules, the system performs deep AI analysis of the resume content against the “Software Engineer” job description, generating compatibility scores and interview suggestions.
- Candidate information and AI scores are automatically appended to the candidate list in Google Sheets.
- An automated email is triggered to notify HR of new resumes pending review, including basic candidate details and AI scoring results.
- Candidates receive confirmation emails informing them that their resumes have been successfully submitted and are awaiting review.
Involved Systems or Services
- Google Gemini (PaLM) AI language model (via n8n Langchain node)
- Gmail (for sending candidate confirmation and HR notification emails)
- Google Sheets (for storing candidate data and AI scores)
- n8n Form Trigger (to collect candidate application information)
- PDF Parsing Node (for resume format conversion)
Target Users and Value
- Corporate HR and recruitment teams: Significantly improve resume screening efficiency, obtain AI-assisted precise candidate evaluation reports, and optimize interview scheduling.
- Recruitment platforms and headhunting agencies: Achieve automated candidate management and intelligent matching to enhance service quality and client satisfaction.
- Technical recruitment managers: Quickly identify candidates with high skill match, save substantial initial screening time, and support data-driven hiring decisions.
This workflow centers on intelligence and automation, enabling recruiters to complete the entire cycle from resume receipt, AI screening, to notification and feedback—substantially boosting recruitment efficiency and talent matching accuracy.