Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective

Mr. Manish Chilwal; Dr. Abhijit Banubakode

Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective

June 2024

Vol-10, Issue-3

Paper ID: 24263

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Master of Computer Application

Keywords

Artificial Intelligence (AI) Resume optimization tools User-Centric Perspective Efficacy Recruitment process

Abstract

In today's rapidly evolving job market, the use of artificial intelligence (AI) technology has become increasingly prevalent, particularly in the realm of resume optimization tools. The focus of this research paper is to critically evaluate the efficacy of AI-driven resume optimization tools from a user-centric perspective. By delving into how these tools operate, the potential advantages they offer, as well as the inherent limitations and challenges they present, this study aims to provide a comprehensive analysis of their effectiveness. As job seekers and employers alike increasingly rely on these tools to streamline the recruitment process, it is crucial to understand the implications of their utilization. This research seeks to shed light on the impact of AI-driven resume optimization tools on job search outcomes and to offer insights into how these tools can be leveraged effectively to enhance candidates' chances of securing employment opportunities.

License

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

Author Information

#	Name	Institute / Affiliation
1	Mr. Manish Chilwal	MET Institute of Computer Science
2	Dr. Abhijit Banubakode	MET Institute of Computer Science

How to Cite

Use the following formats to cite this article in your research.

APA Style

Chilwal, Mr. Manish & Banubakode, Dr. Abhijit (2024). Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 5101-5111.

MLA Style

Chilwal, Mr. Manish, and Dr. Abhijit Banubakode. "Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 5101-5111.

IEEE Style

Mr. Manish Chilwal and Dr. Abhijit Banubakode, "Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 5101-5111, 2024.

Vancouver Style

Chilwal Mr. Manish, Banubakode Dr. Abhijit. Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):5101-5111.

Harvard Style

Chilwal, Mr. Manish & Banubakode, Dr. Abhijit (2024) 'Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 5101-5111.

Chicago Style

Chilwal, Mr. Manish and Dr. Abhijit Banubakode. "Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 5101-5111.

Turabian Style

Chilwal, Mr. Manish and Dr. Abhijit Banubakode. "Evaluating the Efficacy of AI-Driven Resume Optimization Tools: A Critical Analysis and User-Centric Perspective." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 5101-5111.