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A lecturer at ENU has developed a system for recognizing the Kazakh sign language

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The Tech AI

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Nurzada Amangeldi, a lecturer at L.N. Gumilyov Eurasian National University, has developed an artificial intelligence-based system for recognizing the Kazakh sign language for people with hearing and speech impairments. The development took five years: gestures were divided into groups by components, and a neural network model was created for each. The author plans to commercialize the project by submitting an application to the Science Fund of the Republic of Kazakhstan.

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