In the increasingly digital world, technology has assumed a central role in virtually every aspect of our lives, ranging from the mundane to the intricate. With the emergence of advanced technologies, such as computer vision and deep learning, witnessed a profound transformation in our ability to automate tasks, eliminating the need for human intervention across a wide spectrum of activities. This phenomenon extends across diverse domains, encompassing everything from ensuring security to facilitating educational endeavors and streamlining everyday tasks. At the core of this technological revolution lies the capability of computer vision to accurately track and analyze various parameters in real time. Among these, the monitoring of human body positions emerges as a critical application, requiring the precise identification of joints and limbs while mitigating the influence of background noise and extraneous factors like clothing and lighting conditions. Leveraging sophisticated tools like Mediapipe and OpenCV, practitioners can effectively harness the power of computer vision to achieve these objectives, paving the way for enhanced monitoring and analysis capabilities.