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An AI-Driven, Survey-Based Machine Learning Study on Employability Stress Among IT Students in Experience-Centric Job Markets.

Year: 2026

Type: article

Abstract: This research proposes an AI and Machine Learning–based framework to analyze student employability challenges and career stress in the IT sector. A survey-based dataset was collected to evaluate skills, academic background, and career readiness of students. Machine learning models were applied to identify patterns influencing employment opportunities and career risk levels. The proposed system provides practical insights that can help educational institutions and career advisors design targeted skill development and support strategies for students entering the workforce.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19397935

Author: Isha, Devakar

Language: English

Topic: Higher Education and Employability

Subfield: Education

Field: Social Sciences

Domain: Social Sciences

SDGs: Decent work and economic growth, Quality education

Open Access status: green

OpenAlex ID: W7148685178

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