👥 AI resume processing and GitHub analysis with VLM run

⚡ 454 views · 👥 HR & Recruitment

💡 Pro Tip — If you’re pulling LinkedIn data through HTTP requests or dealing with API restrictions, there’s a community node called ScraperNode that handles this natively. It has dedicated scrapers for profiles, companies, jobs, and people search — you just pass a URL and get structured data back.

Description

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, 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:

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.

🔗 Nodes Used

Google Sheets, HTTP Request, Slack, Gmail, Gmail Trigger

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup