SKILL GAP ANALYSIS USING MACHINE LEARNING
The “Skill Gap Analysis Using Machine Learning” project aims to bridge the gap between user skillsets and industry requirements. It examines user resumes, finds skill gaps, and gives a path for skill improvement using Natural Language Processing (NLP) and machine learning techniques. Additionally, the system suggests resources for interview preparation based on the professional domains that the user has chosen. This platform supports firms in workforce development while providing users with practical insights for career growth.
Authors
- R Sreenithi
- R. Latha
- R. V.
Institutions
- SRM Institute of Science and Technology (IN)
- Dr. M.G.R. Educational and Research Institute (IN)
- Anna University, Chennai (IN)
Publication Details
- Journal
- International Journal of Engineering Research and Sustainable Technologies (IJERST)
- Published
- 2025-09-25
- DOI
- https://doi.org/10.63458/ijerst.v3i3.122
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00