Our project, SmartFit, is a cutting-edge fitness solution that utilizes the latest in machine learning technology to help users achieve their fitness goals.
One of the key features of SmartFit is its ability to track users' live training and provide suggestions on whether additional exercise is needed. This helps users stay on track and make progress towards their goals. Additionally, SmartFit's advanced posture detection algorithm ensures that users are performing exercises correctly, which can improve the effectiveness of their workouts and prevent injury.
The user interface of SmartFit is designed to be easy to use, with detailed exercise descriptions, videos, and similar exercises to help users understand and perform each workout. With SmartFit, users have access to all the information they need to achieve their fitness goals in one convenient platform.
Ensuring the accuracy of the machine learning algorithms used to provide personalized workout plans and feedback on proper form and technique is crucial for the success of the project.
Developing and integrating the real-time tracking and posture with the ml model and providing the accurate results.
Deployement of API's
Web Integration with the ml model
Discussion