mdzaheerjk/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.

25
/ 100
Experimental

This tool helps HR professionals and recruiters streamline the hiring process by automatically screening job applicants. You provide a job description and a set of resumes, and it uses AI to assess how well each resume matches the job requirements. The outcome is a ranked list of candidates, saving significant time in initial resume review.

Use this if you need to quickly and accurately screen a large volume of resumes against specific job descriptions to identify the most suitable candidates.

Not ideal if you prefer a purely manual review process or if your hiring workflow does not involve a high volume of applications requiring automated initial screening.

recruitment HR applicant-screening talent-acquisition resume-analysis
No Package No Dependents
Maintenance 10 / 25
Adoption 4 / 25
Maturity 11 / 25
Community 0 / 25

How are scores calculated?

Stars

7

Forks

Language

License

MIT

Last pushed

Jan 27, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/mdzaheerjk/AI-Powered-Job-Analyzer-using-Filebeat-with-ELK-Stack-and-Kubernetes"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.