Hey there! Welcome to SYGym, created by Mursal Furqan Kumbhar (kumbhar.2047419@studenti.uniroma1.it), Srinjan Ghosh (ghosh.2053796@studenti.uniroma1.it), and M. Waseem Kalhoro
(kalhoro.2049050@studenti.uniroma1.it).
SYGym is a state-of-the-art web application designed to revolutionize your fitness journey. With a combination of
cutting-edge technologies and machine learning, SYGym enables you to track and analyze your body movements using
just a webcam.
By leveraging Pose.Net,
developed by Google’s TensorFlow, and ml5.js, a powerful
JavaScript
library for Machine Learning, which implements TensorFlow.js, SYGym provides real-time body pose estimation and tracking. You can now monitor your
workouts and ensure correct form and posture, all from the comfort of your own home.
Whether you're a fitness enthusiast, an athlete, or simply looking to improve your well-being, SYGym is your
perfect
virtual fitness companion. Our user-friendly interface and intuitive features make it easy to set goals, track
progress, and access valuable insights about your workout performance.
Join the SYGym community today and experience the future of fitness. Visit our GitHub repository to learn more and get started on
your fitness journey!