A Smart Framework for Skill Gap Analysis and Personalized Career Recommendation

• Author(s): Tejashwini Shettigari; Busa Sanjay; Tankari Sahith Reddy; S Sowjanya
• Paper ID: 1719626
• Page: 1120-1126
• Published Date: 13-07-2026
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 10 Issue 1 July-2026

Abstract

The gap between academic education and industry expectations has become a significant challenge for students and job seekers. While employers often look for candidates with specific technical skills, many individuals are unsure whether their resumes properly represent the competencies required for particular job roles. Most existing resume screening tools mainly depend on keyword matching and do not provide meaningful insights about missing skills or areas that need improvement.This paper proposes a Smart Framework for Skill Gap Analysis and Personalized Career Recommendation that evaluates how well a candidate’s resume matches the requirements of a selected job role. The system extracts technical skills from an uploaded resume and compares them with predefined industry skill requirements. Based on this comparison, it calculates a match percentage and identifies the skills that are missing. In addition, the framework suggests alternative career paths that align with the candidate’s current skill set.The proposed system presents the analysis results in a clear and easy-to-understand format, helping users recognize their strengths and understand which skills need further development. By combining structured data comparison with intelligent processing, this framework aims to improve modern career guidance systems and assist individuals in making more informed career decisions.

Keywords

Skill Gap Analysis, Resume Analysis, Career Recommendation, Skill Matching, Employability Support

Citations

IRE Journals:
Tejashwini Shettigari, Busa Sanjay, Tankari Sahith Reddy, S Sowjanya "A Smart Framework for Skill Gap Analysis and Personalized Career Recommendation" Iconic Research And Engineering Journals Volume 10 Issue 1 2026 Page 1120-1126

IEEE:
Tejashwini Shettigari, Busa Sanjay, Tankari Sahith Reddy, S Sowjanya "A Smart Framework for Skill Gap Analysis and Personalized Career Recommendation" Iconic Research And Engineering Journals, vol. 10, no. 1, Jul. 2026

APA:
Tejashwini Shettigari, Busa Sanjay, Tankari Sahith Reddy, S Sowjanya (2026). A Smart Framework for Skill Gap Analysis and Personalized Career Recommendation. Iconic Research And Engineering Journals, 10(1).

MLA:
Tejashwini Shettigari, Busa Sanjay, Tankari Sahith Reddy, S Sowjanya "A Smart Framework for Skill Gap Analysis and Personalized Career Recommendation" Iconic Research And Engineering Journals, vol. 10, no. 1, Jul. 2026.

BibTeX

@article{1719626,
author = {Tejashwini Shettigari, Busa Sanjay, Tankari Sahith Reddy, S Sowjanya},
title = {A Smart Framework for Skill Gap Analysis and Personalized Career Recommendation},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {10},
number = {1},
pages = {1120-1126},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1719626.pdf},
abstract = {The gap between academic education and industry expectations has become a significant challenge for students and job seekers. While employers often look for candidates with specific technical skills, many individuals are unsure whether their resumes properly represent the competencies required for particular job roles. Most existing resume screening tools mainly depend on keyword matching and do not provide meaningful insights about missing skills or areas that need improvement.This paper proposes a Smart Framework for Skill Gap Analysis and Personalized Career Recommendation that evaluates how well a candidate’s resume matches the requirements of a selected job role. The system extracts technical skills from an uploaded resume and compares them with predefined industry skill requirements. Based on this comparison, it calculates a match percentage and identifies the skills that are missing. In addition, the framework suggests alternative career paths that align with the candidate’s current skill set.The proposed system presents the analysis results in a clear and easy-to-understand format, helping users recognize their strengths and understand which skills need further development. By combining structured data comparison with intelligent processing, this framework aims to improve modern career guidance systems and assist individuals in making more informed career decisions.},
keywords = {Skill Gap Analysis, Resume Analysis, Career Recommendation, Skill Matching, Employability Support},
month = {July}
}