👥 HR Automation Pipeline with AI

Hiring involves a long chain of repetitive tasks: collecting applications, reading CVs, extracting candidate information, evaluating qualifications, recording data, and storing documents. Each step requires time and attention — and each handoff between steps introduces delays and errors. In this module, you'll build an end-to-end pipeline that automates the entire flow.

The End-to-End Hiring Pipeline

Unlike the simpler screening workflow in Module 14, this pipeline covers the full candidate journey from initial application to structured evaluation. It uses multiple specialized AI nodes — information extractors, summarization chains, and expert evaluation agents — each handling a different part of the process.

What We're Building

The pipeline has 7 major stages, each handled by a dedicated n8n node or chain:

1. Form Trigger — Candidate fills out an n8n-hosted application form with personal details and CV upload
2. CV Text Extraction — Extract raw text from the uploaded PDF or DOCX file
3. Information Extraction (Personal) — AI extracts structured personal data: name, email, phone, location
4. Information Extraction (Qualifications) — AI extracts skills, experience, education, certifications
5. Data Merge & Summarization — Combine extracted data and generate a concise CV summary
6. HR Expert Evaluation — An AI "HR expert" evaluates fit score, strengths, concerns, and interview questions
7. Data Storage — Save everything to Google Sheets and upload the CV to Google Drive

[n8n Form Trigger: Application submitted]
         │
         ▼
[Extract Text from CV (PDF/DOCX)]
         │
    ┌────┴────┐
    ▼         ▼
[Extract    [Extract
 Personal    Qualifications]
 Data]
    │         │
    └────┬────┘
         ▼
   [Merge Extracted Data]
         │
         ▼
   [Summarization Chain: CV Summary]
         │
         ▼
   [HR Expert LLM: Evaluation + Score]
         │
         ▼
   [Structured Output Parser]
         │
    ┌────┴────┐
    ▼         ▼
[Google     [Google Drive:
 Sheets:     Upload CV]
 Save Data]