AI Resume Processing and GitHub Analysis with VLM Run

Description

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

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

Setup
Prerequisites: Gmail account, VLM Run API credentials, Google Sheets access, Slack workspace, n8n.

Install the verified VLM Run node by searching for VLM Run in the node list, then click Install. Once installed, you can start using it in your workflows.

Quick Setup:
Configure Gmail OAuth2 for resume monitoring
Add VLM Run API credentials for document parsing
Create Google Sheets candidate database
Set up Slack integration for team notifications
Update spreadsheet/channel IDs in workflow nodes
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.