Machine Learning Driven Healthcare Through Online Gym Under TheFramework Of Artificial Life

Abstract

This work presents how the modern virtual amenities and ambience can be used to discover the convenience and effectiveness of online gym. The domain of the study  is Artificial Life(AI)in which Human behavioral aspects are taken into the consideration in virtual environment under framework of Artificial Intelligence. The area of implementation of the same is Healthcare. The motivation behind the work  is multitasking responsibilities of modern life where working professionals or students don’t have much time space. In the proposed work, there is no more need  of commuting to the gym through rushing out to the class, it is anywhere anytime exercise at one shot wherever & whenever the user of the system wants. In this era of multi-vertical responsibilities fitness is perhaps the strongest health criterion with appropriate work-out schedule. In the model formulation of the problem, novel software model is proposed in which the user can explore variety of workout programs and trainers with different approaches and specialties in the contrast to physical gym in which facility is trivial. The model is self-experienced inspired by Machine Learning that can throw new exercises and techniques with changing time to its user.

In the solution process, this system can understand workout needs and desires through textual interaction with user and will be prescribed the appropriate calisthenics / remedial exercise plans.

The proposed work is supplemented by illustrative case studies in Yoga and Aerobics.