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FitPulse: A Cross-Platform AI-Assisted Mobile Application for Comprehensive Personal Fitness Monitoring


Authors : Ajay Chawda; Hardik Bait; Nirvan Bandal; Smith Chavan

Volume/Issue : Volume 11 - 2026, Issue 4 - April


Google Scholar : https://tinyurl.com/mhkdn2w5

Scribd : https://tinyurl.com/mr5244ke

DOI : https://doi.org/10.38124/ijisrt/26apr801

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : We built FitPulse as a response to a straightforward problem: most fitness apps do one thing well but miss everything else. This paper walks through how we designed, built, and tested FitPulse — a mobile fitness tracking app that works on both Android and iOS from a single codebase using React Native and the Expo SDK. The app brings together real-time step counting through the phone's built-in motion sensor, a calorie and nutrition tracking engine based on the Mifflin-St Jeor formula, water intake logging, sleep history, and AI-suggested workout plans. To keep everything in sync across screens, we used React's Context API as a global state manager. User accounts are handled through Firebase Authentication, and all health data lives locally on the device using AsyncStorage — which means the app works just fine without internet. Across all the features we tested, the system hit 95.2% accuracy overall and held a steady 60 fps on both platforms.

Keywords : React Native, Expo SDK, Firebase Authentication, AsyncStorage, Pedometer, Mifflin-St Jeor, Cross-Platform, BMR, TDEE, Calorie Monitoring, Sleep Monitoring, Offline Fitness App.

References :

  1. World Health Organization, "Physical Activity Fact Sheet," WHO Press, Geneva, 2020. [Online]. Available: https://www.who.int
  2. S. Consolvo, K. Everitt, I. Smith, J. A. Landay, "Design requirements for technologies that encourage physical activity," ACM CHI 2006, pp. 457–466.
  3. Google LLC, "Google Fit Platform Overview," Google Developers, 2023. [Online]. Available: https://developers.google.com/fit
  4. MyFitnessPal, "MyFitnessPal Help Center," Under Armour Inc., 2023. [Online]. Available: https://support.myfitnesspal.com
  5. K. Mercer et al., "Behavior change techniques present in wearable activity trackers," JMIR mHealth, vol. 4, no. 2, e40, 2016.
  6. Meta Open Source, "React Native — Learn once, write anywhere," 2024. [Online]. Available: https://reactnative.dev/
  7. A. Biorn-Hansen, T. Majchrzak, T. Gronli, "Progressive web apps: The possible web-native unifier for mobile development," WEBIST 2017, pp. 344–351.
  8. M. D. Mifflin et al., "A new predictive equation for resting energy expenditure in healthy individuals," Am. J. Clin. Nutr., vol. 51, no. 2, pp. 241–247, 1990.
  9. V. Lugade et al., "Validity of using tri-axial accelerometers to measure human movement," Med. Eng. Phys., vol. 36, no. 2, pp. 169–176, 2014.
  10. Google LLC, "Firebase Authentication Documentation," 2024. [Online]. Available: https://firebase.google.com/docs/auth
  11. React Native Community, "@react-native-async-storage/async-storage," GitHub, 2024.
  12. Axios, "Promise-based HTTP Client for Node.js," 2024. [Online]. Available: https://axios-http.com/
  13. Expo, "Expo SDK 54 Documentation," 2024. [Online]. Available: https://docs.expo.dev/

We built FitPulse as a response to a straightforward problem: most fitness apps do one thing well but miss everything else. This paper walks through how we designed, built, and tested FitPulse — a mobile fitness tracking app that works on both Android and iOS from a single codebase using React Native and the Expo SDK. The app brings together real-time step counting through the phone's built-in motion sensor, a calorie and nutrition tracking engine based on the Mifflin-St Jeor formula, water intake logging, sleep history, and AI-suggested workout plans. To keep everything in sync across screens, we used React's Context API as a global state manager. User accounts are handled through Firebase Authentication, and all health data lives locally on the device using AsyncStorage — which means the app works just fine without internet. Across all the features we tested, the system hit 95.2% accuracy overall and held a steady 60 fps on both platforms.

Keywords : React Native, Expo SDK, Firebase Authentication, AsyncStorage, Pedometer, Mifflin-St Jeor, Cross-Platform, BMR, TDEE, Calorie Monitoring, Sleep Monitoring, Offline Fitness App.

Paper Submission Last Date
30 - April - 2026

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