We-Care - Student’s Mental Health Analyzer

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 prove time-consuming, subjective, and stigmatizing. This project aims to address these challenges by developing an AI-powered chatbot that analyzes student mental health through user queries and facial emotion recognition. It also has an integrated set of questionnaires, based on which an assessment is done to generate personalized reports, providing expert guidance and self-awareness support. This will empower students to gain a better understanding of their mental well-being. The project will explore the potential limitations and ethical considerations associated with the use of AI in mental health assessment, laying the groundwork for future development and refinement of this valuable tool.

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Institutions

Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-03-28
DOI
https://doi.org/10.47392/irjaeh.2025.0155
Citations
1
Primary Topic
Digital Mental Health Interventions
Type
article
Field-Weighted Citation Impact
1.54
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article

We-Care - Student’s Mental Health Analyzer

Shubham Vishwakarma, Reeshi Kanade, Om Danej
1 citations
International Research Journal on Advanced Engineering Hub (IRJAEH)
Digital Mental Health Interventions
1.54
article

We-Care - Student’s Mental Health Analyzer

Shubham Vishwakarma, Reeshi Kanade, Om Danej
article en
1 citations

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 prove time-consuming, subjective, and stigmatizing. This project aims to address these challenges by developing an AI-powered chatbot that analyzes student mental health through user queries and facial emotion recognition. It also has an integrated set of questionnaires, based on which an assessment is done to generate personalized reports, providing expert guidance and self-awareness support. This will empower students to gain a better understanding of their mental well-being. The project will explore the potential limitations and ethical considerations associated with the use of AI in mental health assessment, laying the groundwork for future development and refinement of this valuable tool.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(03)
Guru Gobind Singh Medical College and Hospital (IN)
Openalex Percentile: Top 19%
Digital Mental Health Interventions
1.54
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We-Care - Student’s Mental Health Analyzer — Shubham Vishwakarma, Reeshi Kanade, et al. · International Research Journal on Advanced Engineering Hub (IRJAEH) (2025) | TGRS Research Map | TGRS