Carebridge solution

Abdullah, Siti Nur Nadila (2025) Carebridge solution. In: The 14th international invention, innovation & design competition 2025 (INDES 2025), 26 Jun 2025, Universiti Teknologi MARA, Perak.

Abstract

This paper introduces CareBridge Enterprise, a web-based prototype designed to enhance access to mental health services through the integration of Artificial Intelligence (AI) and Natural Language Processing (NLP). The system supports both clients and counsellors by analysing textual input to detect emotional states, identify potential mental health concerns (e.g., anxiety or depression), and suggest suitable counselling approaches including Cognitive Behavioural Therapy (CBT), humanistic therapy, or reality therapy. Built using AI-powered NLP models, the platform recognises keywords, emotional tone, and symptomatic cues while maintaining user privacy by avoiding personal data collection. A scheduling interface also matches users with available counsellors, supporting seamless connectivity. Through real-time emotional insights and session-preparation tools, CareBridge enhances the therapeutic process while offering a scalable and privacy-conscious solution for digital mental healthcare.

Metadata

Item Type: Conference or Workshop Item (Paper)
Creators:
Creators
Email / ID Num.
Abdullah, Siti Nur Nadila
UNSPECIFIED
Subjects: B Philosophy. Psychology. Religion > BF Psychology > Applied psychology > Special topics (not otherwise provided for), A-Z > Counselors
R Medicine > RC Internal Medicine > Neuroscience. Biological psychiatry. Neuropsychiatry > Psychiatry > Therapeutics. Psychotherapy
Divisions: Universiti Teknologi MARA, Perak > Seri Iskandar Campus > Faculty of Architecture, Planning and Surveying
Journal or Publication Title: The 14th international invention, innovation & design competition 2025 (INDES 2025)
Event Title: The 14th international invention, innovation & design competition 2025 (INDES 2025)
Event Dates: 26 Jun 2025
Page Range: pp. 356-358
Keywords: Mental health, NLP, AI counselling, Student wellbeing, Emotion detection
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/135800
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