👥 🤖 Automate CV screening with AI candidate analysis

⚡ 23,972 views · 👥 HR & Recruitment

Description

How it works

This workflow automates your initial hiring pipeline by creating an AI-powered CV scanner. It collects job applications through a web form, uses AI to analyze the candidate’s CV against your job description, and neatly organizes the results in a Google Sheet.

Here’s the step-by-step process:

• The Application Form: A Form Trigger provides a public web form for candidates to submit their name, email, and CV (as a PDF).
• Initial Logging: As soon as an application is submitted, the candidate’s name and email are added to a Google Sheet. This ensures every applicant is logged, even if a later step fails.
• CV Text Extraction: The workflow uses Mistral’s OCR model to accurately extract all the text from the uploaded CV PDF.
• AI Analysis: The extracted text is sent to Google Gemini. A detailed prompt instructs the AI to act as a hiring assistant, scoring the CV against the specific requirements of your job role and providing a detailed explanation for its score.
• Structured Output: A JSON Output Parser ensures the AI’s analysis is returned in a clean, structured format, making the data reliable.
• Final Record: The AI-generated qualification score and explanation are added to the candidate’s row in the Google Sheet, giving you a complete, analyzed list of applicants.

Set up steps

Setup time: ~15 minutes

You’ll need API keys for Mistral and Google AI, and to connect your Google account.

1. Get Your Mistral API Key:

   • Visit the Mistral Platform at console.mistral.ai/api-keys.
   • Create and copy your API key.
   • In the workflow, go to the Extract CV Text node, click the Credential dropdown, and select + Create New Credential.
   • Paste your key into the API Key field and Save.

2. Get Your Google AI API Key:

   • Visit Google AI Studio at aistudio.google.com/app/apikey.
   • Click “Create API key in new project” and copy the key.
   • In the workflow, go to the Gemini 2.5 Flash Lite node, click the Credential dropdown, and select + Create New Credential.
   • Paste your key into the API Key field and Save.

3. Connect Your Google Account:

   • Select the Create 'CVs' Spreadsheet node.
   • Click the Credential dropdown and select + Create New Credential to connect your Google account.
   • Repeat this for the Log Candidate Submission and Add CV Analysis nodes, selecting the credential you just created.

4. Create Your Spreadsheet:

   • Click the “play” icon on the Start Here node to run it. This will create a new Google Sheet in your Google Drive named “CVs” with the correct columns.

5. Customize the Job Role:

   • Go to the AI Qualification node.
   • In the Text parameter, find the job_requirements section and replace the example job description with your own. Be as detailed as possible for the best results.

6. Start Screening!

   • Activate the workflow using the toggle at the top right.
   • Go to the Application Form node and click the “Open Form URL” button.
   • Fill out the form with a test application and upload a sample CV. Check your Google Sheet to see the AI’s analysis appear within moments

🔗 Nodes Used

Google Sheets, Basic LLM Chain, Structured Output Parser, n8n Form Trigger, Google Gemini Chat Model, Mistral AI

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup