FitnityAI: Personalized Fitness Goal Tracking Assistant with AI

Authors

  • Soukaina DADI LTI, ENSA, Chouaib Doukkali University, El Jadida, Morocco https://orcid.org/0009-0009-7212-8832
  • Meryem BOUKHRAIS TRI, 2ITE, ENSA, Chouaib Doukkali University, El Jadida, Morocco
  • Amine BOKTAYA TRI, 2ITE, ENSA, Chouaib Doukkali University, El Jadida, Morocco
  • Ali KARTIT LTI, ENSA, Chouaib Doukkali University, El Jadida, Morocco https://orcid.org/0000-0002-3472-1151

Keywords:

fitness tracking, AI recommendations, mobile application, health technology, personalized fitness

Abstract

With growing interest in health and wellness, there is a rising demand for intelligent tools that support personalized fitness routines. That’s what inspired FitnityAI, a fresh approach to mobile fitness tracking that uses generative AI to deliver customized guidance tailored to each user’s needs and progress. The application integrates key technologies, including the Gemini AI engine, a robust Spring Boot backend, and a user-friendly Android interface, to build a dynamic and adaptive fitness experience. Its standout feature is an AI-powered conversational assistant capable of interpreting user goals, activity patterns, and preferences to provide actionable, real-time fitness recommendations. FitnityAI was developed to support users in building sustainable fitness habits and to raise the bar for how mobile apps can use large language models to transform personal health management.

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Published

2025-06-30

How to Cite

[1]
S. DADI, . M. BOUKHRAIS, . A. BOKTAYA, and . A. KARTIT, “FitnityAI: Personalized Fitness Goal Tracking Assistant with AI”, IJCEDS, vol. 4, no. 2, pp. 22–30, Jun. 2025.

Issue

Vol. 4 No. 2 (2025): Volume 4. Issue 2

Section

Original Software Publication

ARK

https://n2t.net/ark:/32155/IJCEDS.v4i2.83

License

Copyright (c) 2025 soukaina DADI, Meryem BOUKHRAIS, Amine BOKTAYA, Ali KARTIT

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