Yoga Trainer App using Human Pose Detection

Abstract

The dependence on mobile devices for daily tasks has risen as a result of technological innovation and changing lifestyles. A mobile yoga app is crucial since yoga may improve one's lifestyle. For this study, a flutter-built, user-friendly yoga trainer software was employed. The methodology and technology used to create the software are discussed, along with an overview and outcomes of the software. The software detects the user's postures to ensure that they are performed correctly using machine learning techniques. A report is produced based on the user's prior sessions. The major goal of this paper is to create an app that may give users the impression that they have a yoga instructor in their own homes, which will inspire everyone to practice yoga. The conclusion of this study offers a few encouraging perspectives and directions for the software.