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I recently designed and implemented an end-to-end automation system that continuously tracks job postings and intelligently analyzes them using AI. 🔍 What this system does: Automatically collects job listings (LinkedIn-based roles) Uses Google Gemini Chat Model to analyze job descriptions Extracts missing skills, role requirements, and seniority level Converts unstructured job data into structured, actionable output Runs fully automated using n8n scheduled workflows ⚙️ Key components in the workflow: Schedule Trigger for periodic execution AI-powered job analysis via Gemini Chat Structured Output Parser for clean, reusable data Logic-based routing (no-op handling when no new jobs are found) 📌 Why this matters: Instead of manually reading job descriptions, this system instantly highlights skill gaps and role expectations—perfect for: Job seekers Recruiters Career analytics platforms AI-driven HR tools This project pushed me deeper into AI automation, workflow orchestration, and structured data extraction, and I’m excited to keep evolving it further. Would love to hear thoughts or ideas to extend this 🚀