Record Details
Record ID
stcompfyp:195
Title
MoodBuddy : AI-driven mental health companion
Type of Work
Final Year Project/Work
Collection
S&T Best Computing Projects
Contributor
Fung, Yin Ho (group member)
Chan, Sze Yuen (group member)
Kwok, Wing Yan (group member)
Assi, Dani Samer (supervisor) 
School / Unit
School of Science and Technology (S&T) 
Program
Bachelor of Computing with Honours in Internet Technology
Bachelor of Science with Honours in Computer Science
Date
2025
Abstract
The specific problem to be solved in this project is the difficulty of obtaining mental health support, which includes barriers such as delayed access to professional help, high costs of therapy, stigma, privacy concerns, and a lack of continuous monitoring and personalized support. These challenges can exacerbate mental health conditions and deter individuals from seeking care. The aim of this project is to develop MoodBuddy, an AI-driven mobile application designed to provide accessible, affordable, and stigma-free mental health care.
Type of Resource
Mixed
Language
English
Physical Description
This work includes 1 PDF file and 2 video clips.
Access Eligibility
Public Access
Permanent Link
Object Details
Record ID
stcompfyp:197
Title
MoodBuddy : AI-driven mental health companion - pdf
Collection
S&T Best Computing Projects
Type of Resource
PDF
Physical Description
7 pages.
Access Eligibility
Public Access
Permanent Link