Volume 12, Number 09, May 2022

FitConnect: An Intelligent Mobile Application to Automate the Exercise Tracking
and Personalization using Big Data Analysis

  Authors

Michael Li¹ and Yu Sun², ¹USA, ²California State Polytechnic University, USA

  Abstract

In recent times with the pandemic, many people have been finding exercise as an outlet. However, this situation has made it difficult for people to connect with one another and share their progress with friends and family. This paper designs an application to utilize big data, a social media network, and exercise tracking [1][2]. The program aims to help people connect with others to support one another in their fitness journey. Through various experiments we demonstrated that the application was effective in connecting users with each other and overall improving their fitness experience. Additionally, people of all experience levels in fitness were generally satisfied with the performance of FitConnect, with those of higher experience being less satisfied than those with lesser experience. This application will facilitate getting into fitness through positive means for any person who wants to pursue a healthy lifestyle, whether in the walls of their house, a swimming pool, or a gym [3].

  Keywords

Big Data, Social Community, Exercise Tracking.