AI-powered interview preparation system using local LLM for campus placements

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Important notice

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

1. Workflow Overview

An AI powered, end to end interview preparation and mentoring automation system for campus placements. It enables placement cells to generate hyper personalized 4 page interview preparation PDFs fo...

Best for

Document Extraction automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.merge, @n8n/n8n-nodes-langchain.lmchatollama, n8n-nodes-gemini-search.geminisearchtooltool, n8n-nodes-base.formtrigger, n8n-nodes-base.googlesheets, n8n-nodes-base.extractfromfile, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.code

Source and attribution

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

Original n8n.io source

1.1 Workflow description

Title: AI-powered interview preparation system using local LLM for campus placements
Workflow name: AI-powered interview preparation system using local LLM for campus placements

Overview

An AI-powered, end-to-end interview preparation and mentoring automation system for campus placements. It enables placement cells to generate hyper-personalized 4-page interview preparation PDFs for shortlisted students, by combining job descriptions (JDs), candidate data, and LLMs via LangChain and Ollama.

Note: This template requires self-hosted n8n to run community nodes like LangChain and Ollama.

What This Workflow Does

Accepts a CSV of shortlisted students and a JD via form upload

Analyzes student profile vs JD using Ollama LLM via LangChain

Generates personalized interview preparation PDFs

Sends the PDF to each student via email

Logs all data in Google Sheets and prevents duplicate processing

Workflow Preview

📷 Please add a workflow screenshot here showing the main nodes and flow

Step-by-Step Flow

1. Form Submission

CSV of shortlisted students + JD + company name is submitted via HTTP Request form trigger.

2. Data Parsing and Google Sheet Logging

CSV parsed → structured rows added to Google Sheet named with company + batch.

3. Candidate Filtering

Only students with N8N_Agent = Not Generated are selected to avoid reprocessing.

4. AI-Powered Report Generation

LangChain agent (via Ollama + Gemini Search Tool) generates a 4-page Markdown report:

Page 1: Profile Summary, Skill Gap Analysis, Company Insights

Page 2: 15–20 Personalized Interview Questions

Page 3: 5 Group Discussion Topics + Strategy

Page 4: Custom Preparation Plan + Suggested Resources

5. PDF Creation

Markdown → Stylish PDF via APITemplate.io

6. Email Delivery

Each student receives a personalized email with the attached report.

7. Google Sheet Status Update

Marks the student’s row as “Generated” in N8N_Agent column.

Prerequisites

Self-hosted n8n with Community Nodes enabled

Local or Docker-hosted Ollama with LLaMA3.2 or equivalent model

Activated LangChain and Gemini Search Tool nodes

APITemplate.io API Key

Connected Google Sheets account

SMTP setup or Gmail node for email delivery

Customization Tips

Replace the LLM prompt in the LangChain node with your own tone/style

Modify the PDF template on APITemplate.io to reflect your institution branding

Update the email copy for formal or informal tones

Add new filters (e.g., minimum CGPA, branch) for student selection

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 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.1

Block 2 - Ollama Chat Model

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

Block 3 - Merge1

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.1

Block 4 - Ollama Chat Model1

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

Block 5 - Gemini Search Tool

Type / Role: n8n-nodes-gemini-search.geminiSearchToolTool - geminiSearchToolTool
Config choices: Version 1

Block 6 - Merge2

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.1

Block 7 - Merge3

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.1

Block 8 - Parse Uploaded CSV of Candidates

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

Block 9 - create a sheet in google spreadsheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 10 - extract csv data

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

Block 11 - Add csv data to google spreadsheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 12 - Select first row based on selected column

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 13 - Job Interview Preparation Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 14 - change item name to markdown

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

Block 15 - Create PDF files

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

Block 16 - Email prompt Agent

Type / Role: @n8n/n8n-nodes-langchain.agent - agent
Config choices: Version 2

Block 17 - Send Email with PDF

Type / Role: n8n-nodes-base.emailSend - emailSend
Config choices: Version 2.1

Block 18 - Update the selected column to spreadsheet

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.6

Block 19 - Sticky Note

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

Block 20 - Sticky Note1

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

Block 21 - Sticky Note2

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

3. Summary Table

Workflow	AI-powered interview preparation system using local LLM for campus placements
Complexity	advanced
Nodes	21
Categories	Document Extraction, Multimodal AI
Author	Aashit Sharma
Published	07 Jun 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/4761/4761.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 Document Extraction workflows Multimodal AI workflows

Frequently asked questions

What does AI-powered interview preparation system using local LLM for campus placements 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 Document Extraction, Multimodal AI use case.

Aashit Sharma

7 workflows

Nodes

n8n-nodes-base.merge @n8n/n8n-nodes-langchain.lmchatollama n8n-nodes-gemini-search.geminisearchtooltool n8n-nodes-base.formtrigger n8n-nodes-base.googlesheets n8n-nodes-base.extractfromfile @n8n/n8n-nodes-langchain.agent n8n-nodes-base.code

Complexity

advanced

Published 07 Jun 2025

Likes 0

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Install path: /data/workflows/4761/4761.json

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AI-powered interview preparation system using local LLM for campus placements

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

Overview

What This Workflow Does

Workflow Preview

Step-by-Step Flow

1. Form Submission

2. Data Parsing and Google Sheet Logging

3. Candidate Filtering

4. AI-Powered Report Generation

5. PDF Creation

6. Email Delivery

7. Google Sheet Status Update

Prerequisites

Customization Tips

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Merge

Block 2 - Ollama Chat Model

Block 3 - Merge1

Block 4 - Ollama Chat Model1

Block 5 - Gemini Search Tool

Block 6 - Merge2

Block 7 - Merge3

Block 8 - Parse Uploaded CSV of Candidates

Block 9 - create a sheet in google spreadsheet

Block 10 - extract csv data

Block 11 - Add csv data to google spreadsheet

Block 12 - Select first row based on selected column

Block 13 - Job Interview Preparation Agent

Block 14 - change item name to markdown

Block 15 - Create PDF files

Block 16 - Email prompt Agent

Block 17 - Send Email with PDF

Block 18 - Update the selected column to spreadsheet

Block 19 - Sticky Note

Block 20 - Sticky Note1

Block 21 - Sticky Note2

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