Practice job interviews with voice-based Google Gemini AI interviewer

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

What does this workflow do? This workflow acts as the backend "brain" for a sophisticated AI Voice Interviewer. It receives a user's resume text and a target job description, then uses a Large Lang...

Best for

Personal Productivity automation workflows
AI Chatbot automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.webhook, n8n-nodes-base.if, n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.lmchatgooglegemini, n8n-nodes-base.respondtowebhook, n8n-nodes-base.stickynote, n8n-nodes-base.set

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Sarry.

Original n8n.io source

1.1 Workflow description

Title: Practice job interviews with voice-based Google Gemini AI interviewer
Workflow name: Practice job interviews with voice-based Google Gemini AI interviewer

What does this workflow do?

This workflow acts as the backend "brain" for a sophisticated AI Voice Interviewer. It receives a user's resume text and a target job description, then uses a Large Language Model (LLM) to conduct a realistic, voice-based interview. The workflow maintains conversation history to ask relevant follow-up questions, creating a dynamic and personalized interview practice experience.

This template is designed to work with a simple HTML frontend that handles the voice-to-text and text-to-speech functionality.

What services does this workflow use?

Google Gemini: This is the LLM used to generate intelligent interview questions. You can easily swap this out for other models like OpenAI.

What credentials do you need to have?

You will need one credential:

A Google Gemini API Key. You can get one for free from the Google AI Studio.

How to use this workflow

This workflow is the backend and requires a frontend to interact with.

Set up the Frontend: You can find the complete frontend code and setup instructions in this GitHub repository.
Configure Credentials: In this n8n workflow, click on the "Google Gemini Chat Model" node and add your own Gemini API credential.
Activate the Workflow: Make sure the workflow is saved and active.
Connect Frontend to Backend: Click on the "Webhook" node and copy the Production URL. Paste this URL into the voice-interview.html page as instructed in the GitHub repository's README.md file.
Start Interviewing: Fill out the form on the web page to begin your voice interview!

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Webhook

Type / Role: n8n-nodes-base.webhook - webhook
Config choices: Version 2

Block 2 - If

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2.2

Block 3 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 4 - Basic LLM Chain

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.7

Block 5 - Google Gemini Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatGoogleGemini - lmChatGoogleGemini
Config choices: Version 1

Block 6 - Respond to Webhook

Type / Role: n8n-nodes-base.respondToWebhook - respondToWebhook
Config choices: Version 1.4

Block 7 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Sticky Note1

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 9 - Sticky Note3

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Sticky Note2

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Sticky Note4

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Create Initial Prompt

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 13 - Create Follow-up Prompt

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 14 - Prepare Response Data

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 15 - Sticky Note5

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

3. Summary Table

Workflow	Practice job interviews with voice-based Google Gemini AI interviewer
Complexity	advanced
Nodes	15
Categories	Personal Productivity, AI Chatbot
Author	Sarry
Published	29 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6614/6614.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Personal Productivity workflows AI Chatbot workflows

Frequently asked questions

What does Practice job interviews with voice-based Google Gemini AI interviewer do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Personal Productivity, AI Chatbot use case.

Sarry

2 workflows

Nodes

n8n-nodes-base.webhook n8n-nodes-base.if n8n-nodes-base.merge @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.lmchatgooglegemini n8n-nodes-base.respondtowebhook n8n-nodes-base.stickynote n8n-nodes-base.set

Complexity

advanced

Published 29 Jul 2025

Likes 0

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Install path: /data/workflows/6614/6614.json

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Practice job interviews with voice-based Google Gemini AI interviewer

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

What does this workflow do?

What services does this workflow use?

What credentials do you need to have?

How to use this workflow

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Webhook

Block 2 - If

Block 3 - Merge

Block 4 - Basic LLM Chain

Block 5 - Google Gemini Chat Model

Block 6 - Respond to Webhook

Block 7 - Sticky Note

Block 8 - Sticky Note1

Block 9 - Sticky Note3

Block 10 - Sticky Note2

Block 11 - Sticky Note4

Block 12 - Create Initial Prompt

Block 13 - Create Follow-up Prompt

Block 14 - Prepare Response Data

Block 15 - Sticky Note5

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions