AI Powered Recruitment System

Authors

  • Ashwini Kadam Assistant Professor – Computer Science and Engineering, YSPM’s YTC, Satara, Maharashtra, India. Author
  • Pratik Pawar UG - Computer Science and Engineering, YSPM’s YTC, Satara, Maharashtra, India. Author
  • Prachi Pawar UG - Computer Science and Engineering, YSPM’s YTC, Satara, Maharashtra, India. Author
  • Revati Pandit UG - Computer Science and Engineering, YSPM’s YTC, Satara, Maharashtra, India. Author
  • Ankita Phalke UG - Computer Science and Engineering, YSPM’s YTC, Satara, Maharashtra, India. Author
  • Sanjana Jagadale UG - Computer Science and Engineering, YSPM’s YTC, Satara, Maharashtra, India. Author

DOI:

https://doi.org/10.47392/IRJAEH.2025.0471

Keywords:

HR Dashboard, Aptitude Test, Interview Scheduling, Resume Parsing, Recruitment Automation

Abstract

Artificial intelligence in recruitment provides a revolutionary answer in today's cutthroat hiring environment. An AI-Powered Recruitment System that was created in two organized stages is presented in this study. Phase 1 creates an HR dashboard and user-friendly frontend that facilitates resume uploads, candidate management, and job postings. AI-driven automation for resume parsing, aptitude test assessment, group discussion scheduling, and interview coordination is introduced in Phase 2. The solution improves the candidate experience and recruiter control by integrating real-time notifications, progress tracking, and filtering. The approach decreases human bias, speeds up decision-making, and improves recruitment transparency by automating every step and utilizing sophisticated filtering. A more efficient and successful hiring process that facilitates well-informed talent acquisition is the end outcome.

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Published

2025-07-24

How to Cite

AI Powered Recruitment System. (2025). International Research Journal on Advanced Engineering Hub (IRJAEH), 3(07), 3203-3208. https://doi.org/10.47392/IRJAEH.2025.0471

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