Screen job applicants with Groq llama-3.3-70b and send outcomes via Gmail

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

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.

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.

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