Work

We-Care - Student’s Mental Health Analyzer

Year: 2025

Type: article

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.

Source: International Research Journal on Advanced Engineering Hub (IRJAEH)

DOI: 10.47392/irjaeh.2025.0155

Authors: Shubham Vishwakarma, Reeshi Kanade, Om Danej

Language: English

Topic: Digital Mental Health Interventions

Subfield: Applied Psychology

Field: Psychology

Domain: Social Sciences

SDGs: Good health and well-being, Quality education

Open Access status: diamond

OpenAlex ID: W4408972091

FWCI: 0.737

Cites:

Cited by: 1

Related to: 10