Abstract-Fitnessexercisesareverybeneficialtopersonalhealth and fitness; however, this proposed method, introduces Pose Trainer, an application that detects the user’s exercise pose and providespersonalizeddetail.PoseTrainerusesthestateoftheart inposeestimationtodetectauser’spose,thenevaluatesthevector geometry of the pose through an exercise to provide useful feedback based on human pose. The recording of a dataset over 5 exercisevideosofcorrectformisdone,basedonpersonaltraining guidelines, and build geometric heuristic and machine learning algorithms for evaluation. A pose estimator called media pipe is used in this application. Media pipe is a pre-trained model composed of a multi-stage RCNN algorithm to detect a user’s posture and counting the repetitions. This application evaluates the vector geometry of the pose through an exercise to provide helpful feedback. human posture in images or videos that shows thekeypointsintheoutputimage.ThePoseTrainerwiththePose Trainer application providing specific calorie burn data on the exercise form to the user and stored in the textfile.And also every exercise had set limit for completion once the exercise reached the limit the voice will be indicated.