Abstract: A method and system for automated dispensing of restricted goods based on user verification and a fitness-for-duty determination is provided. The method includes obtaining user feature data via a user device, and performing verification of the user feature data via at least one of a government database or a third-party identity verification database with a digitized representation of a government-issued physical card saved on the user device. The verification is based on a locally occurring cryptographic operation. The method also includes performing analysis of the user feature data with at least one deep learning model for signs of inebriation by determining whether the user is fit-for-duty. The method also includes dispensing automatically, via a digital tap system, the restricted goods upon a positive verification of the user feature data and a result of the analysis with the at least one deep learning model determining that the user is fit-for-duty.

Abstract: A method and system for automated dispensing of restricted goods based on user verification is provided. The method includes obtaining user feature data via a user device, and performing verification of the user feature data via at least one of a government database or a third-party identity verification database with a digitized representation of a government-issued physical card saved on the user device. The verification is based on a locally occurring cryptographic operation. The method also includes performing analysis of the user feature data with at least one deep learning model for signs of inebriation. The method also includes dispensing automatically, via a digital tap system, the restricted goods upon a positive verification of the user feature data and a result of the analysis with the at least one deep learning model showing no signs of inebriation or signs of inebriation below a predetermined threshold level.