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AI CV Screening Workflow

This workflow automates the resume screening and evaluation process by utilizing AI models to deeply analyze candidate profiles and generate matching scores. The system can automatically send email notifications to candidates and HR, while also storing candidate information and scores in a database to ensure centralized management of information. This process significantly reduces the manual workload for HR, enhances the objectivity of evaluations, and facilitates real-time communication between candidates and HR, optimizing recruitment decisions and efficiency.

Workflow Diagram
AI CV Screening Workflow Workflow diagram

Workflow Name

AI CV Screening Workflow

Key Features and Highlights

This workflow automates the process of intelligent resume screening and evaluation. It leverages the Google Gemini AI model to perform in-depth analysis and matching scoring of candidate resumes. The system automatically sends email notifications to both candidates and HR, while synchronizing candidate information and AI scores into Google Sheets to ensure centralized data management and facilitate subsequent follow-ups.

Core Problems Addressed

  • Significantly reduces the time and workload of manual resume screening by HR
  • Enhances the objectivity and professionalism of resume evaluation
  • Enables timely communication and notifications between candidates and HR
  • Systematically manages candidate data to support informed recruitment decisions

Application Scenarios

  • Automating recruitment workflows for technical positions such as software engineers
  • Resume screening and candidate management for HR departments
  • Integration of AI-assisted evaluation within enterprise recruitment automation platforms

Main Workflow Steps

  1. Candidates submit their name, email, LinkedIn profile, expected salary, and resume in PDF format via an online application form.
  2. The system extracts resume content and converts it into a parseable JSON format.
  3. The Google Gemini AI model performs intelligent matching analysis between the resume and the job description, generating a compatibility score and interview recommendations.
  4. Candidate information and AI scores are recorded in Google Sheets for consolidated data management.
  5. An automatic confirmation email is sent to the candidate to acknowledge receipt of the resume.
  6. HR receives an automatic notification of the new resume submission, including detailed candidate information and AI scores, facilitating quick review.

Involved Systems and Services

  • Google Gemini (PaLM) AI model
  • Gmail (email sending authorized via OAuth2)
  • Google Sheets (candidate data management)
  • n8n form trigger (application data collection)
  • PDF resume content extraction node

Target Users and Value Proposition

  • HR recruitment specialists
  • Corporate recruitment teams
  • Providers of talent assessment and recruitment automation solutions
  • Enterprises aiming to improve recruitment efficiency and enhance hiring decision quality

By combining AI-driven intelligent analysis with automated notifications, this workflow helps recruitment teams efficiently screen suitable candidates, shorten hiring cycles, and improve the overall recruitment experience and accuracy.