As a preferred embodiment of the present invention, the device for preventing potential quality problems selects a customized quality case for a project that machine-learns and performs various problems occurring in a project including a plurality of processes made over several years by machine learning, and By providing the action to be performed by specifying the person in charge of the project and the time of application, it is possible to preemptively respond to potential similar quality problems and reduce the financial damage and time consumption that are inevitably caused in case of quality failure.
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