International Journal For Multidisciplinary Research

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AI-Powered HR Recruitment Management System With Resume Screening, Interview Automation, Video Assessment And Candidate Skill Gap Analysis

Author(s) Ms. Nimisha RA, Ms. Reshma J K, Ms. Sangeetha S, Prof. Maha Lakshmi S
Country India
Abstract The growing demand for efficient andunbiased recruitment has driven the adoption of Artificial Intelligence (AI) inHumanResource(HR)processes.This paper presents an end-to-end AI-powered HR recruitment management system that integrates automated resume screening, intelligent interview automation, video and audio-based candidate assessment, and skill gap analysis. The system leverages Natural LanguageProcessing(NLP) and semantic embeddings via Doc2Vec tomatchcandidate resumes with job descriptions, while generative AI models facilitate dynamic interview question generation and skill extraction.Audioresponsesareprocessedusingspeech-to-text and evaluated against predefined criteria, including confidence, clarity, relevance, and vocal quality. Askillgapanalysismoduleidentifiesmissingcompetencies by comparing candidate profiles with role requirements. The architecture employs a modular approach, combiningaReact-basedfrontend,Node.jsmiddleware,aFastAPI-based machine learning service,andaMongoDB backend, enabling scalability and real-time processing. Experimental evaluations demonstrate the potential of the system to reduce manual screening time, enhance candidate-job fit accuracy, and support data-driven hiring decisions. Ethical considerations, including biasmitigation, data privacy, and transparency, are also addressed toensureresponsibleAIadoptioninrecruitment workflows.
Keywords AI in recruitment, resume screening, interview automation, video assessment, skill gapanalysis, Doc2Vec, generative AI, speech recognition, NLP, human resource management.
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-21
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.63309
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