Smart Recruitment Management System

Shaikh, Chaitali Chaudhari , Ashvini Chaudhari , Komal Patil , Aafiya

doi:https://doi.org/10.55041/ijsmt.v2i2.015

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SMART RECRUITMENT MANAGEMENT SYSTEM

AUTHORS:

Chaitali Chaudhari , Ashvini Chaudhari , Komal Patil , Aafiya Shaikh

Mentor

Affiliation

Department of Computer Science and Engineering, Sandip University Nashik

DOI: 10.55041/ijsmt.v2i2.015

CC BY 4.0 License:

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

This paper presents a Smart Recruitment Management System, from a business perspective, SRMS reduces recruitment costs by eliminating the need for third-party hiring platforms and minimizing paperwork and overhead. These inefficiencies can lead to poor hiring decisions, increased recruitment costs, and reduced candidate satisfaction. From a technical standpoint, it lays a strong foundation for future enhancements like AI-powered chatbots for candidate queries, machine learning-based predictive hiring, integration with external job portals (e.g., Naukri, LinkedIn), and analytics dashboards for talent insights.

Keywords

AI Healthcare BioBERT Disease Prediction CNN OCR Medical NLP

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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.

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