Personalized AI Dietitian and Fitness Trainer

Abstract

Abstract: Exercising is the most important thing to live a healthy life. To be free from injuries and getting the most from our workout proper form of exercise is important. Doing too much repetition and over training can cause muscle soreness. Unendingly doing exercise incorrectly could eventually cause severe future injuries. The rest between the sets should be optimum depending on the repetition of the exercise, what muscle group is being trained and the load that is being put in the muscle. Maximum Muscle hypertrophy is achieved with the correct form of exercise. The goal of the project is to build an exercise repetition counter and form corrector in a way so the optimum growth can be achieved with the help of cutting edge technology. The whole project is written in python. Simple easy to use tkinter GUI is used, Computer vision for live video input, media pipe for building machine learning solutions and numpy for mathematical calculations. Our system is built on the most recent advancements in deep learning for build cause estimation. We tend to the area units that are able to observe and find errors in user’s activity (pose) by effectively supporting some threshold deviation between the limb angles. If a person is doing exercises with the help of this system, the user's form is checked (corrections in form also will be given if any) repetition’s status and count is displayed. Along with this the AI dietitian calculates the maintenance calories, BMR, etc. This will increase muscle hypertrophy and reduce the risk of injury. Keywords: Exercise, Form corrector, Machine learning, Numpy, Tkinter