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sign-language

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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
  • HTML

This is the second portfolio project of Code Institute's Diploma in Full-Stack Software Development course. The second portfolio project uses HTML, CSS, and JavaScript to create an interactive website. The Guess Indian Sign Language Alphabet was chosen as the main idea built on in this project.

  • Updated Mar 18, 2024
  • HTML

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