Automated Resume Screening & Ranking with AI and Google Workspace

This n8n workflow automates the process of screening and ranking resumes using AI (specifically, the Llama 4 AI model via Groq) and Google Workspace services. It streamlines the hiring process by automatically extracting information from new resume submissions, analyzing them against job requirements, and providing a ranking.

What it does

This workflow performs the following key steps:

1. Monitors Google Drive for New Resumes: Triggers whenever a new file (presumably a resume in PDF or document format) is uploaded to a specified Google Drive folder.
2. Extracts Text from Resumes: Reads the content of the newly uploaded resume file, converting it into plain text.
3. Analyzes and Ranks with AI: Sends the extracted resume text to an AI Agent (configured to use a Groq Chat Model, likely Llama 4) for analysis. The AI is prompted to screen and rank the resume based on predefined criteria or a job description (which would need to be configured within the AI Agent node).
4. Processes AI Output: The AI Agent's response, which should include the ranking and any relevant screening notes, is then processed.
5. Integrates with Google Docs/Sheets (Implicit): Although not explicitly connected in the provided JSON, the presence of "Google Docs" and "Google Drive" nodes suggests that the AI-generated ranking and insights could then be used to update a Google Sheet for tracking applicants or generate a summary document in Google Docs.

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running n8n instance (cloud or self-hosted).
• Google Account: With access to Google Drive and Google Docs.
  • Google Drive Credential: Configured in n8n to allow monitoring of a specific folder and reading files.
  • Google Docs Credential: Configured in n8n (if you intend to use the Google Docs node for output).
• Groq API Key: For the Groq Chat Model, which provides access to AI models like Llama 4.
• AI Agent Configuration: The "AI Agent" node will require specific instructions (prompts) to effectively screen and rank resumes according to your job requirements.

Setup/Usage

1. Import the Workflow: Download the provided JSON and import it into your n8n instance.
2. Configure Credentials:
   • Set up your Google OAuth2 credentials for Google Drive and Google Docs.
   • Set up your Groq API Key credential.
3. Configure Google Drive Trigger:
   • Specify the Google Drive folder that n8n should monitor for new resume uploads.
4. Configure Extract from File Node:
   • Ensure it's set up to correctly extract text from common resume file types (e.g., PDF, DOCX).
5. Configure AI Agent Node:
   • Crucially, you will need to define the prompt for the AI Agent. This prompt should instruct the AI on how to screen and rank resumes. Include details about the job description, required skills, experience, and the desired output format (e.g., a numerical score, a summary, and key findings).
   • Ensure the "Groq Chat Model" is selected and configured with your Groq API key.
6. Extend the Workflow (Optional but Recommended):
   • Add nodes after the AI Agent to store the results. For example:
     • A Google Sheets node to add a new row with the candidate's name, AI ranking, and summary.
     • A Google Docs node to create a detailed screening report.
     • A Slack/Email node to notify recruiters of a highly ranked candidate.
7. Activate the Workflow: Once configured, activate the workflow to start monitoring your Google Drive for new resumes.