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AI Powered Job Analyzer using Filebeat with ELK Stack and Kubernetes

The AI Powered Job Analyzer is a cloud-native application that leverages GPT-4 to automatically screen resumes against job descriptions for hiring accuracy. Deployed on a Kubernetes cluster, it integrates a full ELK stack (Filebeat, Logstash, Elasticsearch, Kibana) to provide robust, real-time logging and system observability.

19 lectures

What You Will Learn

Gain hands-on experience building a professional ELK Stack pipeline for centralized log management and real-time dashboard visualization.
Students master containerizing applications and managing them within a Kubernetes cluster on a Virtual Machine.

System Architecture

AI Powered Job Analyzer using Filebeat with ELK Stack and Kubernetes Architecture Diagram

High-level architecture overview of the AI Powered Job Analyzer using Filebeat with ELK Stack and Kubernetes .

What You'll Build

  • An intelligent application that parses resumes and JDs to generate automated hiring decisions, match percentages, and gap analysis using GPT-4.
  • A professional ELK Stack (Filebeat to Kibana) that captures application logs, processes them, and visualizes system health on a real-time dashboard.
AI Powered Job Analyzer using Filebeat with ELK Stack and Kubernetes
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