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Explore Kazakh Sign Language

An innovative artificial intelligence-based solution for supporting communication using Kazakh Sign Language

15+ books

1500+ words

4+ courses

Start learning!
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We have developed Kazakh Sign Language Automatic Recognition System

AI-Ym is an online platform designed to support deaf and hard-of-hearing users, as well as everyone who works with Kazakh Sign Language. We have combined gesture recognition technology and translation synthesis into one solution to make communication accessible and effective

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Here is how it works

Text to Sign Translation

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Dive into Kazakh Sign Language effortlessly with accurate translations from text to sign, helping you communicate clearly and effectively.

Kazakh SL Dictionary

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Need to know a specific sign? Our extensive dictionary with over 1,500 entries has everything you need at your fingertips.

Sign to Text Recognition

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Capture and convert sign language into written Kazakh instantly, ensuring no conversation is lost in translation.

Online Classes for Interpreters

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Boost your signing skills through our online courses, designed to build your confidence and expertise in Kazakh Sign Language.

Anywhere.

At any time.

Use AI-Ym platform to learn and interact using Kazakh Sign Language on your smartphone, tablet, or laptop. No matter your location, you can access our tools seamlessly, with your progress automatically synced across all your devices. Keep learning on-the-go and never miss a beat in mastering KSL.

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Here is what our users love about learning KSL with AI-Ym

Yekaterina N. avatar

Yekaterina N.

My daughter and I often read books in sign language using materials from the website — it makes the learning process easy and engaging.

Nurziya O. avatar

Nurziya O.

The extensive dictionary is a fantastic resource. It makes learning new signs straightforward and very accessible.

Anara N. avatar

Anara N.

The text-to-sign conversion works clearly and conveniently. A very cool resource for those who want to learn Kazakh Sign Language!


©2024 AI-Ym Project by HRI Lab.