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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM60530
Volume:
10 |
4 |
April 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
The AI POWERED RECRUITMENT AND CANDIDATE SCREENING SYSTEM is an advanced, AI-powered platform developed to streamline and optimize the hiring process. This system utilizes cutting-edge artificial intelligence techniques to automate resume screening, skill extraction, and job matching, ensuring that candidates are accurately aligned with suitable job opportunities based on predefined requirements and current industry demands. By incorporating Natural Language Processing (NLP) and machine learning algorithms, the platform efficiently analyses candidate profiles and compares them with job descriptions, significantly reducing the need for manual shortlisting. One of the core features of the system is the Real-Time AI Interview Module, which conducts automated interviews through voice or text- based interactions. This module intelligently assesses candidates’ communication abilities, confidence levels, and technical expertise, and generates instant performance reports for recruiters. The integration of resume analysis, intelligent job matching, and automated interviewing creates a fair, efficient, and data-driven recruitment process. Additionally, the system enhances the candidate experience by providing personalized job recommendations and immediate feedback. It also features a scalable and cloud-based architecture, ensuring seamless handling of large volumes of applications while maintaining system performance and reliability. Overall, this solution transforms traditional recruitment methods into a smart, automated, and real-time talent acquisition system, saving time and improving decision-making for organizations
KEYWORDS
Publication Date
4/17/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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