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

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