Bulk resume screening & JD matching with GPT-4 for HR teams
Ready for 3.0What this workflow does
This AI workflow has 21 nodes and runs when someone submits an n8n form (“Resume Review Form”). Along the way it connects OpenAI Chat Model, Google Sheets, Google Drive and SendGrid and 1 more.
How it runs
Trigger: When someone submits an n8n form (“Resume Review Form”).
- Code: runs custom JavaScript code
- Get position JD (Google Sheets): uses Google Sheets
- Upload to Google Drive (Google Drive): uses Google Drive
- Extract profile (Extract from File): extracts data from a file (pdf)
- Download file (Google Drive): download
- Profile Analyzer Agent (AI Agent): runs an AI agent, with model: gpt4-1 model; output parser: json parser
- Extract Job Description (Extract from File): extracts data from a file (pdf)
- Remove bad data CV (Filter): keeps only the items that match a condition
- Merge: merges the data from its input branches
- Code: runs custom JavaScript code
…plus 6 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (14)
- n8n Form Trigger
n8n-nodes-base.formTrigger - Extract from File
n8n-nodes-base.extractFromFile - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Sheets
n8n-nodes-base.googleSheets - Google Drive
n8n-nodes-base.googleDrive - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - AI Agent
@n8n/n8n-nodes-langchain.agent - Code
n8n-nodes-base.code - SendGrid
n8n-nodes-base.sendGrid - Slack
n8n-nodes-base.slack - If
n8n-nodes-base.if - Merge
n8n-nodes-base.merge - Filter
n8n-nodes-base.filter
From the author
TalentFlow AI – Bulk Resume Screening with JD Matching Automatically extract, evaluate, and shortlist multiple resumes against a selected job description using GPT-4. This smart, scalable n8n workflow helps HR/TA teams streamline hiring decisions while…