Quick Track: food nutrition analyzer

Mohd Zawawi, Rabiatul Adawiyah (2025) Quick Track: food nutrition analyzer. [Student Project] (Unpublished)

Abstract

The mobile application project, “Quick Track: Food Nutrition Analyzer”, was created to assist individuals in making healthier dietary decisions by providing swift and easy access to precise nutritional data via Quick Response (QR) code scanning. It was developed with three primary goals: (1) to identify the requirements for improving users' dietary habits through effective nutritional information; (2) to develop a mobile application that enabled consumers to quickly obtain calories and nutritional data by scanning food items; and (3) to evaluate how well the “Quick Track: Food Nutrition Analyzer” application satisfied users' needs for accurate tracking, engagement, and making healthier food choices. The mobile application was developed using Android Studio (Java/XML), while the admin site for managing food items and QR codes was created using Visual Studio Code with HTML, CSS, and JavaScript. The project utilized Firebase for backend services, incorporating Authentication for secure logins, Cloud Firestore for managing real-time databases, and Firebase Storage for saving food images. Following Agile development methodology, the project progressed through phases such as requirement elicitation, design, development, testing, and deployment. Initial studies and literature reviews guided the application’s feature design by identifying key user needs, including quick access to nutritional information, simplified food logging, and visual progress tracking. The second objective was achieved by developing “Quick Track”, a mobile application that enabled users to scan food on QR codes to instantly access calorie counts and nutrition information, record their food consumption, and track dietary progress on a daily and weekly basis. The third objective was evaluated using the System Usability Scale (SUS), which revealed that all users found the application user-friendly, and 80% of 10 participants reported improved awareness and healthier eating habits after using the application. The average SUS score from ten users came out to be 82.5%, placing it within the “Excellent” usability category and at the extreme end of the SUS scale termed the “Best Imaginable”.“Quick Track” is particularly beneficial for health-conscious individuals, fitness enthusiasts, and users with specific dietary needs, as it provides fast, personalized, and easily accessible information directly from food packaging’s. While the current version is fully operational, future enhancements include offline functionality, multi-language support, AI-powered meal recommendations, and integration with third-party health and fitness platforms. Through the integration of mobile technology, QR scanning, and user-centred design, “Quick Track” offers a modern and effective approach to promoting better nutrition habits and increasing food awareness.

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Mohd Zawawi, Rabiatul Adawiyah
2022868198
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Arifin, Noorfadzilah
UNSPECIFIED
Subjects: Q Science > QP Physiology > Nutrition
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Telecommunication > Information display systems
Divisions: Universiti Teknologi MARA, Kelantan > Machang Campus > Faculty of Computer and Mathematical Sciences
Programme: Bachelor of Information Technology (Hons.)
Keywords: Computer programs, Data processing, Nutrition
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/121614
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