Realtime Gym Ai

Realtime Gym Ai

Ankit Tamboli , Bhushan Bari  , Shital Khairnar ,  Anand Suryawanshi

Prof. Sunil M. Kale

1Department of computer Engineering of Sandip Institute of Technology and research Centre ,Nashik

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ABSTRACT :

The adoption of a healthy lifestyle is a challenge for many people, and joining a gym is often one of the first steps. However, many individuals struggle with the cost, accessibility, and lack of guidance on proper technique. This problem is addressed through an automated posture detection model, which uses machine learning to recognize different human postures in real-time and help correct them.The posture detection model involves a computer vision system that utilizes machine learning algorithms to analyze live video feeds of individuals exercising in the gym. The model can detect and track body postures in real-time, providing immediate feedback on any mistakes in form or technique. This feedback can be in the form of visual cues or audio prompts, allowing users to adjust their posture and prevent injuries.By providing immediate and personalized feedback, the posture detection model addresses the main barriers that people face when joining a gym. It eliminates the need for costly personal trainers, reduces the risk of injury, and saves time by providing on-the-spot corrections. Overall, this model has the potential to revolutionize the fitness industry, making healthy living more accessible and attainable for everyone.

Keywords: Posture detection, Machine Learning, Deep Learning