JCEEES
Journal of Computer & Electrical and Electronics Engineering Sciences

JCEEES aims to publish original articles covering the theoretical foundations of major computer, electronic and electrical engineering sciences, as well as academic, commercial and educational aspects that propose new ideas for the application and design of artificial intelligence, software and information systems. In addition to wide-ranging regular topics, JCEEES also makes it a principle to include special topics covering specific topics in all areas of interest mainly in computational medicine, artificial intelligence, computer science, and electrical & electronic engineering science.

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Original Article
Development of a personalized cardio exercise and diet tracking mobile application: CardioFit IOS
Abstract
Aims: This study emphasizes the urgent need for integrated and adaptive platforms in the growing mobile health sector and aims to consolidate them into a common mobile platform. The main goal was to develop CardioFit IOS, an innovative IOS app designed to overcome limitations in existing mHealth tools. It provides a comprehensive, personalized health management platform that promotes sustainable healthy behaviors and user goal achievement.
Methods: Developed as a native IOS app using Swift and Firebase for secure data management and authentication, CardioFit IOS features an adaptive personalization engine powered by K-Means clustering. The engine analyzes user physiological data and in-app activities to form clusters, generating and refining personalized exercise, nutrition, and hydration plans beyond standard advice. It also includes real-time tracking of daily physical activity, diet, and water intake.
Results: CardioFit IOS unifies multiple health monitoring features into a single intuitive interface, improving user satisfaction by eliminating the need for multiple apps. Its AI-driven personalization via dynamic clustering delivers wellness strategies responsive to evolving user data, boosting engagement through continuous monitoring, feedback, and progress visualizations to enhance adherence to healthy routines.
Conclusion: CardioFit IOS represents a significant advance in mHealth, blending seamless integration with intelligent personalization. By leveraging advanced clustering and robust infrastructure, it supports users in achieving health and fitness goals, underscoring adaptive AI’s value in personalized digital health interventions.

Keywords : Diet, firebase, fitness, healthy life, IOS, swift

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Article available in :
Volume 4, Issue 1, 2026
Page : 9-16
https://doi.org/10.51271/JCEEES-0032
Article Information
Received : 18 Eki 2025
Accepted : 07 Şub 2026
Published : 25 Nis 2026
Corresponding Author :

Fatih Sarısoy: Türkiye Büyük Millet Meclisi

[email protected]
Citation : Uyan, Y., Sarısoy, F., Yılmaz, B., & Jira, H. (2026). Development of a personalized cardio exercise and diet tracking mobile application: CardioFit IOS. J Comp Electr Electron Eng Sci, 4(1), 9-16.

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