AI Resume Analysis & Candidate Evaluation with Slack and Google Sheets

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Built by Trung Tran Trung Tran
Created on June 05, 2026

Description

Create AI-Powered Chatbot for Candidate Evaluation on Slack

> 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:
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)
Input Validation
If no file is attached, the bot replies:
"Please upload the candidate profile file before sending the message."
Extract Candidate Profile
Downloads the attached PDF from Slack
Uses Extract from File to parse the resume into text
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
Job Description Retrieval
Downloads and parses the matching JD PDF
HR Evaluation (AI Agent)
Sends both the candidate profile and job description to HR Expert Agent
Receives a summarized fit evaluation and insights
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
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
Google Sheets Setup
Create a sheet mapping Position Title → Job Description URL
Create another sheet for logging evaluation results
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
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 |

Nodes Used (9)

AI Agent
@n8n/n8n-nodes-langchain.agent
Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm
Code
n8n-nodes-base.code
Google Drive
n8n-nodes-base.googleDrive
Google Sheets
n8n-nodes-base.googleSheets
HTTP Request
n8n-nodes-base.httpRequest
OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi
Slack
n8n-nodes-base.slack
Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured