FiTrack: A Web Based Interactive Diet Tracking System Using BMI Tracking with Image Processing Tool and Dietary Meal Suggestion

Authors: Kenneth Arvin V. Garay, Markus Jameson F. Miranda, Al-Daniel B. Ramos, Arlene R. Caballero, and Erlito M. Albina

Issue: 2022

Abstract:

This paper proposes FiTrack, a web-based diet tracking system with image processing, BMI tracking, and dietary meal suggestion features. The goal is to provide users a convenient way to monitor their nutrition and make informed dietary choices.

The methodology utilizes quantitative analysis of survey data. System architecture diagrams map the user and admin roles. UML diagrams model use cases, classes, activities, sequences, and data relationships. An evaluation plan assesses ISO quality metrics like functionality, reliability, efficiency, and portability.

Survey responses were gathered from 36 participants comprising mostly 18-35 year old college students. The system received “Excellent” ratings across all criteria – functionality, reliability, usability, efficiency, maintainability, and portability. Participants found the system to be effective in tracking diets. Key features enable user account creation, BMI calculation, daily BMI tracking history, food image uploading, nutritional data extraction, and meal suggestions based on the food item. Admins oversee system operation.

FiTrack provides an interactive way for users to digitally track their nutrition through food photo processing and integrate it with BMI data for personalized diet management. Positive response indicates it could aid those seeking to improve their dietary habits. Suggestions were made to expand to mobile platforms, add more food types to the meal suggestions, and prepare for future technology upgrades. In summary, FiTrack offers an app-based diet tracking solution with strong user acceptance.