Smart gym trainer using Human pose estimation

Human pose estimation becomes a popular project today in the field of computer vision. The human pose estimation can be developed using Artificial Intelligence or Machine learning in which the system is fed with sample data or trained models and hence can localize joints in the human body over a video or an image. Now once the joints of the human body are localized we can use it for wide applications such as getting the gait cycle of a person walking or tracking down the movements of a professional athlete in order to understand the physical techniques and strategies involved to achieve his/her success. Thus one of the applications of Human pose estimation could be developing a smart gym trainer software, that could help struggling bodybuilders to achieve their goals.