A STUDY ON USE OF AI IN RESUME SCREENING IN HR TECH AT ALGOHIRE TECHNOLOGIES

Authors

  • Mrs. M. A. SHARMILA Author
  • SHABAD RAVALIKA Author

Keywords:

Automated Candidate Filtering, Machine Learning Algorithms, Detection and Mitigation, Predictive Talent Analytics and Resume Parsing Technology

Abstract

Artificial intelligence (AI) is transforming the hiring process, particularly in the crucial area of resume evaluation. This research examines how Algohire Technologies employs AI-powered solutions to increase automation, decrease bias in resume evaluations, and expedite the hiring process. Large datasets can be swiftly combed through by AI algorithms to identify applicants whose qualifications, experience, and talents align with the job specifications. As a result, fewer applications need to be reviewed. Benefits like quicker decision-making, improved talent alignment, and increased operational efficiency are evident in the results. The research highlights a number of significant issues, including the necessity for algorithmic transparency and the moral obligation to guarantee justice. According to the survey, HR managers may locate the top applicants more thoroughly and effectively by utilizing AI to scan resumes, which also saves time and improves rating fairness.

Author Biographies

  • Mrs. M. A. SHARMILA

    Assistant Professor, Department of MBA, J.B. INSTITUTE OF ENGINEERING & TECHNOLOGY (AUTONOMOUS), HYDERABAD.

  • SHABAD RAVALIKA

    PG Student,

    Department of MBA,

    J.B. INSTITUTE OF ENGINEERING & TECHNOLOGY (AUTONOMOUS), HYDERABAD.

Downloads

Published

2026-03-19

Issue

Vol. 2 No. 1 (2026): Volume 2, Issue 1, January-March, 2026

Section

Articles

License

Copyright (c) 2026 Journal of Management Excellence

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

All articles published in the Journal of Engineering Excellence (JEE) are licensed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0).

Under this license, authors retain full copyright of their work while granting permission for anyone to read, download, copy, distribute, print, search, or link to the full texts of the articles, or use them for any other lawful purpose, without asking prior permission from the publisher or author — provided that the original work is properly cited.

This open-access license ensures maximum dissemination and impact of the published research by allowing free and immediate access to scholarly work.

For more details, please refer to the official license page:
???? https://creativecommons.org/licenses/by/4.0/