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AI Resume Analysis & Candidate Evaluation with Slack and Google Sheets

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Created by: Trung Tran || trungtran

Trung Tran

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Last update 8 hours ago

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Create AI-Powered Chatbot for Candidate Evaluation on Slack

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This workflow connects a Slack chatbot with AI agents and Google Sheets to automate candidate resume evaluation. It extracts resume details, identifies the applied job from the message, fetches the correct job description, and provides a summarized evaluation via Slack and tracking sheet. Perfect for HR teams using Slack.

Who’s it for

This workflow is designed for:

  • HR Teams, Recruiters, and Hiring Managers
  • Working in software or tech companies using Slack, Google Sheets, and n8n
  • Who want to automate candidate evaluation based on uploaded profiles and applied job positions

How it works / What it does

This workflow is triggered when a Slack user mentions the HR bot and attaches a candidate profile PDF.
The workflow performs the following steps:

  1. Trigger from Slack Mention
    • A user mentions the bot in Slack with a message like:
      @HRBot Please evaluate this candidate for the AI Engineer role.
      (with PDF attached)
  2. Input Validation
    • If no file is attached, the bot replies:
      "Please upload the candidate profile file before sending the message."
  3. Extract Candidate Profile
    • Downloads the attached PDF from Slack
    • Uses Extract from File to parse the resume into text
  4. Profile Analysis (AI Agent)
    • Sends the resume text and message to the Profile Analyzer Agent
    • Identifies:
      • Candidate name, email, and summary
      • Applied position (from message)
    • Looks up the Job Description PDF URL using Google Sheets
  5. Job Description Retrieval
    • Downloads and parses the matching JD PDF
  6. HR Evaluation (AI Agent)
    • Sends both the candidate profile and job description to HR Expert Agent
    • Receives a summarized fit evaluation and insights
  7. Output and Logging
    • Sends evaluation result back to Slack in the original thread
    • Updates a Google Sheet with evaluation data for tracking

How to set up

  1. Slack Setup
    • Create a Slack bot and install it into your workspace
    • Enable the app_mention event and generate a bot token
    • Connect Slack to n8n using Slack Bot credentials
  2. Google Sheets Setup
    • Create a sheet mapping Position Title → Job Description URL
    • Create another sheet for logging evaluation results
  3. n8n Setup
    • Add a Webhook Trigger for Slack mentions
    • Connect Slack, Google Sheets, and GPT-4 credentials
    • Set up agents (Profile Analyzer Agent, HR Expert Agent) with appropriate prompts
  4. Deploy & Test
    • Mention your bot in Slack with a message and file
    • Confirm the reply and entry in the evaluation tracking sheet

Requirements

  • n8n (self-hosted or cloud)
  • Slack App with Bot Token
  • OpenAI or Azure OpenAI account (for GPT-4)
  • Google Sheets (2 sheets: job mapping + evaluation log)
  • Candidate profiles in PDF format
  • Defined job titles and descriptions

How to customize the workflow

You can easily adapt this workflow to your team’s needs:

Customization Area How to Customize
Job Mapping Source Replace Google Sheet with Airtable or Notion DB
JD Format Use Markdown or inline descriptions instead of PDF
Evaluation Output Format Change from Slack message to Email or Notion update
HR Agent Prompt Customize to match your company tone or include scoring rubrics
Language Support Add support for bilingual input/output (e.g., Vietnamese & English)
Workflow Trigger Trigger from slash command or form instead of @mention