GapX: A Survey on Intelligent Career Readiness Systems
GapX: A Survey on Intelligent Career Readiness Systems
Authors:
Raghavendrachar.S¹, Moksha K S², Magham Prathibha³,
Nanditha M⁴, Pooja⁵
¹Associate Professor, Department of Computer Science and Engineering,
- S. Institute of Technology, Bengaluru, Karnataka, India
²³⁴⁵Department of Computer Science and Engineering,
- S. Institute of Technology, Bengaluru, Karnataka, India
Abstract - Right now, many students struggle to see if what they know fits what jobs need. While plenty of websites offer courses or match resumes using keywords, few show how truly ready someone is for work. A close look at recent research reveals methods like breaking down resumes, spotting missing abilities, comparing skills meaningfully, and using smart tools to simulate interviews. Tools powered by machines can understand language patterns, learn from data, and judge how closely a person's strengths meet job demands. Yet gaps remain
- feedback often feels generic, context gets missed, and live progress tracking rarely happens. Surprise - skills gaps show up loud and clear when students face real job demands. Noticing this, the study pushes for a smart system that explains its thinking while spotting weak areas. One moment it flags what someone lacks, the next it suggests precise steps forward. Placement stress? It eases that by aligning course outcomes with actual hiring needs. Hidden behind old methods is a mismatch now brought into daylight. Step by step, artificial intelligence shapes a path where learning meets workplace reality. Clarity comes not from jargon but how well guidance connects to personal growth.
Key Words: Artificial Intelligence (AI), Skill Gap Analysis, Career Readiness, Natural Language Processing (NLP), Semantic Skill Matching, Resume Parsing, Adaptive Mock Interview, Employability Analytics.