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Predictive Models Using Bayesian Networks can indeed be valuable for estimating the number of COVID-19 cases and deaths. Bayesian Networks are probabilistic graphical models that can represent complex relationships between variables, such as infection rates, transmission dynamics, and mortality rates.
The system utilizes computer vision, employing OpenCV (cv2), PyAutoGUI, and Mediapipe, to track hand movements and translate them into cursor movements on the screen. This enables users to interact with their computer without the need for a physical mouse.