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AI Resume Processing and GitHub Analysis with VLM Run

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Created by: Shahrear || shahrear

Shahrear

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Last update 17 hours ago

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This workflow contains community nodes that are only compatible with the self-hosted version of n8n.

Automatically transform resume submissions into comprehensive candidate profiles with AI-powered parsing, GitHub analysis, and instant team notifications.

What this workflow does

  1. Monitors Gmail for incoming resume attachments
  2. Extracts structured data using VLM Run AI document parsing
  3. Analyzes GitHub profiles with deep repository intelligence (30+ frameworks detected)
  4. Creates comprehensive candidate profiles with technical skills assessment
  5. Delivers multi-channel notifications via Google Sheets, Slack, and candidate emails

Setup

Prerequisites: Gmail account, VLM Run API credentials, Google Sheets access, Slack workspace, self-hosted n8n.
You need to install VLM Run community node

Quick Setup:

  1. Configure Gmail OAuth2 for resume monitoring
  2. Add VLM Run API credentials for document parsing
  3. Create Google Sheets candidate database
  4. Set up Slack integration for team notifications
  5. Update spreadsheet/channel IDs in workflow nodes
  6. Test with sample resume and activate

Perfect for

  • HR departments and technical recruiting teams
  • Startup hiring and talent acquisition agencies
  • Developer assessment and skill evaluation
  • Remote team hiring and candidate screening
  • Any organization seeking data-driven hiring decisions

Key Benefits

  • Eliminates manual data entry - AI extracts all contact info, skills, and experience
  • GitHub intelligence engine - Analyzes repositories, calculates experience, detects technologies
  • Comprehensive skill assessment - Identifies programming languages, frameworks, and project metrics
  • Professional candidate experience - Automated acknowledgment emails with personalized touches
  • Instant team collaboration - Rich Slack notifications with GitHub profile highlights
  • Structured data storage - Searchable candidate database with 20+ data columns
  • Saves hours per candidate - Transforms 30-minute manual reviews into instant insights

How to customize

Extend by adding:

  • Integration with ATS systems (Greenhouse, Lever, BambooHR)
  • LinkedIn profile analysis and social media insights
  • Automated interview scheduling based on qualifications
  • Skills-based candidate scoring and ranking algorithms
  • Integration with code assessment platforms
  • Multi-language resume support and translation
  • Custom evaluation criteria and filtering rules
  • Advanced GitHub metrics (code quality, contribution patterns)

This workflow revolutionizes technical hiring by combining AI-powered resume parsing with deep GitHub analysis, delivering comprehensive candidate intelligence that empowers data-driven hiring decisions while maintaining a professional candidate experience.