A Comprehensive Review of AI-Powered Resume Screening and Analysis Systems
Abstract & Details
Research Area
Information Science and Engineering
Keywords
Applicant tracking systems (ATS)
AI
NLP
resume parsing
semantic analysis
candidate ranking
skill matching
unstructured data standardization
bias mitigation
recruitment efficiency
evaluation of objective criteria
data-driven insights
and adaptive learning.
Abstract
By carefully reviewing and classifying resumes, the AI Resume Analyzer is a cutting-edge artificial intelligence-based tool designed to improve and automate the hiring process. In order to perform semantic analysis of resumes, this tool makes use of Natural Language Processing (NLP) to extract and interpret important information about the candidate, including skills, qualifications, work experience, education, certifications, and accomplishments. The system evaluates applicants based on a number of factors, including skill matches, years of experience, educational background, and professional accomplishments, by comparing the extracted data with predetermined job descriptions or requirements. By ranking applicants according to how well they fit the position, the AI Resume Analyzer provides recruiters with a prioritized list of applicants who closely match the required qualifications.
The AI Resume Analyzer speeds up the hiring process by drastically cutting down on the time and effort needed for recruiters to manually sort through high volumes. By guaranteeing that each resume is evaluated using impartial standards, it also contributes to the reduction of unconscious bias and promotes a more inclusive hiring process.
Standardizing unstructured data into a structured format for simple analysis, the tool can handle a range of resume formats, including PDF and DOCX. It provides a thorough candidate profile by using sophisticated filtering techniques to find relevant job-related keywords and contextual data. The system can provide insights into possible skill gaps and recommendations for areas where the hiring process could be improved by spotting patterns in the data.
This tool's AI-driven methodology improves hiring efficiency, guarantees greater candidate selection accuracy, and eventually helps make better hiring decisions, all of which improve organizational performance.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Mr NAGESH U B | Alva’s Institute of Engineering and Technology |
| 2 | Monisha A | Alva’s Institute of Engineering and Technology |
| 3 | Nagashreesha | Alva’s Institute of Engineering and Technology |
| 4 | Nagma Nayak | Alva’s Institute of Engineering and Technology |
| 5 | Nikitha | Alva’s Institute of Engineering and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
B, Mr NAGESH U, A, Monisha, Nagashreesha, Nayak, Nagma, & Nikitha (2025). A Comprehensive Review of AI-Powered Resume Screening and Analysis Systems. International Journal of Advance Research and Innovative Ideas In Education, 11(6), 35-38.
MLA Style
B, Mr NAGESH U, et al. "A Comprehensive Review of AI-Powered Resume Screening and Analysis Systems." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, 2025, pp. 35-38.
IEEE Style
Mr NAGESH U B, Monisha A, Nagashreesha, Nagma Nayak, and Nikitha, "A Comprehensive Review of AI-Powered Resume Screening and Analysis Systems," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, pp. 35-38, 2025.
Vancouver Style
B Mr NAGESH U, A Monisha, Nagashreesha, Nayak Nagma, Nikitha. A Comprehensive Review of AI-Powered Resume Screening and Analysis Systems. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(6):35-38.
Harvard Style
B, Mr NAGESH U, A, Monisha, Nagashreesha, Nayak, Nagma, & Nikitha (2025) 'A Comprehensive Review of AI-Powered Resume Screening and Analysis Systems', International Journal of Advance Research and Innovative Ideas In Education, 11(6), pp. 35-38.
Chicago Style
B, Mr NAGESH U, et al. "A Comprehensive Review of AI-Powered Resume Screening and Analysis Systems." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 35-38.
Turabian Style
B, Mr NAGESH U, et al. "A Comprehensive Review of AI-Powered Resume Screening and Analysis Systems." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 35-38.
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