×
An Intelligent Mobile Application for Student Wellness: Integrating time Management, Health Tracking, and Aipowered Assistance

Authors

Syuan Wei Lee1, Ting Wei Lee1 and Rodrigo Onate2, 1USA, 2California State Polytechnic University, USA

Abstract

This research explores the development of a mobile application that integrates authentication, academic scheduling, health tracking, and AI-powered assistance to promote student well-being. High school students face increasing mental health challenges due to heavy workloads, poor time management, and insufficient self-care practices. Our system addresses these issues by combining secure login services, a Firestore-based health and event management module, and an AI feedback component powered by OpenAI’s GPT model [15]. Challenges addressed during development included securing sensitive data, balancing workload in study plans, and designing an intuitive user interface. An initial usability experiment using surveys demonstrated high ratings for navigation and overall satisfaction, though long-term impacts on stress management require further testing. Compared to existing systems, this project offers a more holistic solution by uniting academic and health dimensions in a single app. Ultimately, the application demonstrates the feasibility of integrating AI with wellness tracking to support balanced student lifestyles.

Keywords

Student Wellness, Time Management, Mental Health, AI-Powered Feedback, Mobile Health Applications