Treffer: Virtufit: An AI Powered Virtual Fitness Supplication.
Weitere Informationen
VirtuFit, developed by students at the University of Wollongong in Dubai and mentored by Dr. Patrick Mukala, is a revolutionary android app transforming 21st-century fitness. It caters to various users, from beginners seeking motivation to fitness enthusiasts needing tailored routines. The app is particularly suitable for those preferring privacy and requires workouts adaptable to busy schedules or specific health conditions. Central to VirtuFit are three innovative features: a Chat Bot, Form Monitor, and Scheduling system. The Chat Bot, powered by Python and OpenAI’s library, acts as an intelligent assistant, providing instant, smart responses. The Form Monitor, built with JavaScript and React Native’s human pose library, offers advanced movement analysis for a safer, more effective workout, ensuring proper technique. The Scheduling feature combines procedural programming and rule-based algorithms to create personalized fitness plans that consider individual goals and time availability. VirtuFit's primary goal is to meet diverse user needs through a unified platform. It acknowledges varied fitness motivations like health, personal interest, or societal standards. By focusing on personalization, the app maximizes user benefits, offering tailored workout plans and interactive virtual trainer sessions. Ultimately, VirtuFit is more than a fitness app; it's an adaptable, user-centric solution, redefining personal health and wellness for today's world. [ABSTRACT FROM AUTHOR]
Copyright of IEOM European Conference Proceedings is the property of IEOM Society International and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)