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+<br>Some drivers have the best intentions to avoid operating a car whereas impaired to a level of changing into a safety menace to themselves and people around them, however it can be difficult to correlate the amount and sort of a consumed intoxicating substance with its effect on driving abilities. Further, in some situations, the intoxicating substance may alter the user's consciousness and forestall them from making a rational resolution on their own about whether or not they're match to function a car. This impairment knowledge can be utilized, in combination with driving information, as training data for a machine learning (ML) model to practice the ML model to foretell excessive risk driving primarily based a minimum of partly upon noticed impairment patterns (e.g., patterns referring to an individual's motor features, reminiscent of a gait
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