Paper Key : IRJ************976
Author: Shubham Rajesh Vishwakarma,Reeshi Nitin Kanade,Om Ajay Danej
Date Published: 13 Nov 2024
Abstract
The increasing prevalence of mental health issues among students necessitates the development of efficient and reliable tools for early detection and intervention. Traditional assessment methods often provetime-consuming, subjective, and stigmatizing. This project aims to address these challenges by creatingacomprehensive questionnaire designed to assess various mental health parameters in students. Byanalysingresponses to these questions, the tool will generate detailed reports providing insights intoanxiety, depression, fear, overconfidence, enthusiasm, and interest. This will empower students to gainabetterunderstanding of their mental well-being and seek necessary support. The project will explore the potential limitations and ethical considerations associated with the use of ML in mental health assessment, layingthe ground work for future development and refinement of this valuable tool.