👥 Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail
⚡ 11 views · 👥 HR & Recruitment
Description
How it works
This workflow automates candidate screening by receiving application data via a webhook and structuring it for AI evaluation. An AI agent analyzes the candidate profile and assigns a score with reasoning. The score is extracted and evaluated against a threshold to decide if the candidate is shortlisted or rejected. Based on the result, the workflow either stores the candidate in Google Sheets and sends a success email or sends a rejection email.
Step-by-step
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Receive and structure application data
- Webhook1 – Receives job and candidate data from external sources.
- Edit Fields1 – Formats and organizes job and candidate information into structured fields.
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Evaluate candidate with AI
- AI Agent – Sends structured data to AI for scoring and evaluation.
- Groq Chat Model1 – Provides the language model used for generating candidate score and reasoning.
- Code in JavaScript – Extracts score and reason from AI response for further processing.
- AI Agent – Sends structured data to AI for scoring and evaluation.
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Filter, store and notify results
- If – Checks if the candidate score meets the defined threshold.
- Append row in sheet – Stores shortlisted candidate details in Google Sheets.
- Send a message3 – Sends a shortlisted confirmation email to the candidate.
- Send a message1 – Sends a rejection email if the candidate does not qualify.
Why use this?
- Automates candidate screening and eliminates manual evaluation
- Ensures consistent and unbiased scoring using AI
- Instantly notifies candidates about their application status
- Maintains a structured shortlist database in Google Sheets
- Saves time for HR teams and improves hiring efficiency
🔗 Nodes Used
Google Sheets, Slack, Webhook, Gmail, AI Agent, Groq Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File