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recognition

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This project aims to automate the traditional attendance system where the attendance is marked manually. It also enables an organization to maintain its records like in-time, out time and attendance digitally. Digitalization of the system would also help in better visualization of the data using graphs to display the no. of employees present tod…

  • Updated Apr 28, 2021
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Implemented normalized, polar and delta feature sets, cross validation folds, Bayesian Information Criterion and Discriminative Information Criterion model selectors, as well as the recognizer in order to detect and translate sign language into text using hidden markov models as part of the Udacity Artificial Intelligence Nanodegree.

  • Updated Apr 23, 2017
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