A Machine Learning-Driven Online Mobile Application for Personalized Student Stress Management

Project Description

In response to a rise in student suicides in Hong Kong, we developed a mobile app designed to help students manage stress and enhance emotional resilience.

Main Features

Personalised Tips of the Day

Offer daily personalized tips and relaxation techniques based on user preferences and feedback.

Thought Sharing Platform

An online peer forum, enabling users to share their stress management strategies, initiate discussions about their challenges and receive peer inputs.

Stress Warning System

A machine learning-based early warning system will be used to identify students experiencing severe stress or suicidal ideation.

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View The Design

APP UI

Project Schedule

Period	Work Description	Progress
Sep~early Oct	-Research -Architectural specifications	Completed
Oct	-Augment and filter test data -Build and train initial models -Construct initial mobile application (Front end)	Completed
Nov~Dec	-Construct mobile application (Back end) -tune the hyperparameters of the models	Completed
Jan	-Prepare interim report and presentation	Completed
Jan~Mar	-Debug and improve mobile app based on feedback -Fine tune the models -User testing	Completed
Apr	-Prepare for final report and presentation -Source code clean up -App deployment	Completed