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AI-Powered Resume Analyzer and Interview Preparation System

R. E.

2025 · DOI: 10.22214/ijraset.2025.75930
International Journal for Research in Applied Science and Engineering Technology · 0 Citations

TLDR

Experimental evaluation demonstrates that the AI-powered Resume Analyzer and Interview Preparation System enhances accuracy, reduces human effort, and provides personalized interview guidance, making it an efficient tool for recruitment, career assessment, and skill development.

Abstract

The process of evaluating resumes and preparing candidates for interviews traditionally requires significant manual

effort, domain expertise, and time.

This paper presents an AI-powered Resume Analyzer and Interview Preparation System designed to automate resume parsing,

skill extraction, job-role matching, and AI-driven interview preparation. The system integrates Natural Language Processing

(NLP), Machine Learning (ML), and Large Language Models (LLMs) to analyze resume content, extract skills, compute jobrole fit, generate candidate insights, and conduct intelligent mock interviews. A Flask-based backend processes the resume,

while a web-based interface presents structured results, suggestions, and interactive interview sessions. Experimental evaluation

demonstrates that the system enhances accuracy, reduces human effort, and provides personalized interview guidance, making it

an efficient tool for recruitment, career assessment, and skill development.