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University Student's Mental Stress Detection Using Machine Learning

Year: 2025

Type: article

Abstract: Mental stress among university students is a growing concern, significantly affecting their academic performance and overall well-being. This study proposes a machine learning-based system to detect mental stress through multiple parameters including facial recognition, behavior analysis, grade analysis, and question-answer-based analysis. The system employs advanced algorithms to analyze facial expressions, academic records, and behavioral data, offering a comprehensive assessment of a student's mental health. The proposed model aims to provide timely interventions, promoting better mental health support within educational institutions. Keywords: Mental Stress Detection, Machine Learning, Facial Recognition, Behavior Analysis, Grade Analysis, Student Well-being.

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem43409

Authors: Rahul M. Dhokane, Viki Shirsath, Vinay Pansare, Durgesh Shinde, Jivan Patil

Language: English

Topic: Online Learning and Analytics

Subfield: Computer Science Applications

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4408997386

FWCI: 1.951

Cites:

Cited by: 2

Related to: 10