AI-Powered Career Recommendation and Skill Gap Analysis Platform
Abstract
This paper proposes an AI-Powered Career Recommendation and Skill Gap Analysis Platform that helps users choose suitable career paths based on their skills, interests, personality, and educational background. The system uses Natural Language Processing for resume parsing and fuzzy matching techniques for skill comparison. It identifies skill gaps and recommends learning resources to improve employability. The platform is implemented using Python and Streamlit to provide an interactive web interface. The proposed system helps students and professionals make data-driven career decisions and align their skills with industry demands.
Fields of Study & Subjects
AI and HR Technologies
Recommender Systems and Techniques
Edcuational Technology Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 March 2026
- Language
- AIG