Local Project

YOLOv7 (You Only Look Once version 7) is a state-of-the-art object detection algorithm that can accurately identify and classify objects in images and videos. Posenet is a machine learning model that can estimate the pose of a person in an image or video, allowing for the detection and tracking of specific body parts.By integrating YOLOv7 or Posenet into our AI-powered workout system, we will be able to automatically detect and classify exercises being performed by users, as well as track their movements and provide real-time feedback and guidance.This will enable us to provide personalized workouts to users based on their fitness goals, physical abilities, and preferences, as well as to monitor their progress and ensure that they are performing exercises safely and effectively.In addition to providing convenience and motivation, our AI-powered workout system will also be a safer alternative to traditional in-person workouts, as it will allow users to exercise in the comfort and privacy of their own homes or other locations.Overall, our use of deep learning techniques such as YOLOv7 and Posenet will enable us to deliver a highly personalized and effective workout experience to users, helping them achieve their fitness goals and maintain good physical health.For the deployment of our AI-powered workout system, we are planning to create two versions: one for the web and one for mobile devices.The web version will be deployed using TensorFlow.js and React. TensorFlow.js is a JavaScript library for training and deploying machine learning models in the browser, while React is a JavaScript library for building user interfaces. By using these technologies, we will be able to create a web-based application that can be accessed from any device with a web browser.The mobile version will be developed using Python, TensorFlow, and Tkinter. Python is a popular programming language that is well-suited for machine learning tasks, and TensorFlow is a powerful machine learning library that can be used to train and deploy machine learning models. Tkinter is a Python library for building graphical user interfaces (GUIs), which will allow us to create a user-friendly mobile app.We plan to deploy the mobile version as a standalone app for Android and iOS devices, using TensorFlow Lite (TFLite) to optimize the model for deployment on these platforms. TFLite is a lightweight version of TensorFlow that is designed for mobile and embedded devices, and it can help us deliver a smooth and efficient user experience on mobile devices.Overall, by using TensorFlow.js and React for the web version and Python, TensorFlow, Tkinter, and TFLite for the mobile version, we will be able to create a versatile and user-friendly AI-powered workout system that can be accessed from a wide range of devices.