Practice Job Interviews with Voice-based Google Gemini AI Interviewer

Backend workflow for AI-powered voice interview practice using Google Gemini LLM. Receives resume and job description to generate dynamic, contextual questions while maintaining conversation history.

n8n
Practice Job Interviews with Voice-based Google Gemini AI Interviewer

This n8n workflow serves as the intelligent backend for a voice-based AI job interviewer. It processes user-submitted resume text and target job descriptions via a webhook, leveraging Google Gemini to generate realistic interview questions. The system maintains conversation history, enabling follow-up questions that adapt to user responses, simulating a genuine interview experience. Designed to pair with a simple HTML frontend for voice-to-text and text-to-speech handling.

Key features include seamless integration with Google Gemini API for natural language processing, making it easy to swap for other LLMs like OpenAI. Setup requires only a free Gemini API key and activation of the workflow. The frontend, available on GitHub, connects via the webhook's production URL, allowing users to practice interviews hands-free.

Benefits include personalized interview preparation, skill assessment through adaptive questioning, and unlimited practice sessions without human interviewers. Ideal use cases: job seekers honing responses for tech, sales, or executive roles; career coaches providing scalable training tools; HR teams simulating interviews for internal development. Saves time and boosts confidence with realistic, voice-driven interactions.

To deploy: Clone the GitHub frontend, configure Gemini credentials in n8n, copy the webhook URL, and start practicing. Perfect for Development & IT professionals automating testing and training workflows.

$24.99
Last updated October 17, 2026
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How to import this workflow into n8n

  1. 1Purchase or download the workflow to get the n8n workflow JSON file.
  2. 2In your n8n instance, open Workflows and choose "Import from File" (or paste the JSON with Ctrl+V on the canvas).
  3. 3Open each node marked with a credential warning and connect your own accounts and API keys.
  4. 4Run the workflow once manually to verify the data flow, then toggle it to Active.

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