Volume 2 - Issue 2, March - April 2026

NLP is used in NLP-Based Resume Analysis, Skill Enhancement & Job Automation to extract text and evaluate it so that users can offer insights. It recommends certain abilities for people to employee. By comparing resumes with job descriptions, NLP can find skill gaps and offer tailored training programs to improve candidates' credentials and boost their employability. In this paper, we examine many contemporary methods for automated resume screening. To increase the precision and effectiveness of the screening procedure, these approaches employ a variety of methods, including genetic algorithms, hybrid deep learning frameworks, transfer learning, and multisource data. Furthermore, a number of research investigate the use of job descriptions to improve resume screening accuracy. This technology is advantageous to recruiters.

Abinaya.S, Mr.Giftson.G,"NLP-Based Approaches for Resume Analysis and Job Automation" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(2): Page(777-781) Mar-Apr 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.