DEVELOPMENT OF A CALORIE TRACKING WEB APPLICATION: MACHINE LEARNING FOR TRACKING PHYSICAL ACTIVITIES OF UNIMAS STUDENTS
Loading...
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
UNIVERSITI MALAYSIA SARAWAK
Abstract
Description
This project aims to develop a calorie-tracking web application for students at Universiti Malaysia Sarawak (UNIMAS), utilising machine learning to track physical activities. The application allows users to manually record daily activities such as walking, running, or playing sports, along with details like duration, distance, and intensity. Machine learning algorithms are incorporated to estimate calorie expenditure accurately, providing users with a flexible and intuitive method of tracking their activities. Key features include Body Mass Index (BMI) calculation, weight status classification, and visualizations of calorie consumption trends. Additionally, the platform fosters user engagement through a discussion forum for sharing tips, a leaderboard to encourage healthy competition, and customizable progress tracking. Comprehensive testing confirmed the application's functionality and usability, with all features performing reliably and receiving highly positive feedback from students. Comprehensive testing, including functional and usability tests, was conducted to ensure reliability and ease of use, confirming that all application modules functioned correctly and effectively handled realistic user scenarios. The usability evaluation conducted with students yielded highly positive feedback, highlighting the application's intuitive interface, ease of task completion, and overall user satisfaction. By offering an accessible, cost-effective, and practical solution, this project empowers UNIMAS students to monitor their physical activities, understand their health metrics, and adopt healthier routines. The application demonstrates the integration of machine learning and web technologies to deliver accurate predictions and a user-friendly experience, addressing the limitations of existing fitness tracking solutions. Through this project, UNIMAS students are provided with a tool that not only supports their fitness goals but also encourages long-term wellness and community engagement.