We are dedicated to removing communication barriers between the Deaf and hearing communities by providing comprehensive tools for Kazakh Sign Language (KSL) education and interaction. Our mission is realized through the development of intuitive, AI-powered features designed for real-life application.
Our platform, built on the groundbreaking Kazakh Sign Language Automatic Recognition System (K-SLARS), offers innovative solutions like text-to-sign translation, sign recognition, and a comprehensive sign language dictionary.
We were honored as finalists in the "Social Impact 2023" competition, organized by Nazarbayev University's Social Development Fund, showcasing our commitment to innovative social entrepreneurship in the field of sign language communication.
Anara Sandygulova was awarded funding by:
1) Nazarbayev University Faculty Development Competitive Research Grant Program 2019–2021 for the project “Kazakh Sign Language Automatic Recognition System (K-SLARS).” Award number: 110119FD4545.
2) Nazarbayev University Faculty Development Competitive Research Grant Program 2022–2024 for “Kazakh-Russian Sign Language Processing: Data, Tools and Interaction (K-RSL4L).” Award number: 11022021FD2902.
Principal Investigator
Department Robotics and Mechatronics, School of Engineering and Digital Sciences
PhD in Computer Science, University College Dublin (2015)
Researcher
PhD student, Medet's PhD focuses on developing a semi-automatic annotation tool for sign languages.
MS in Engineering Management, Nazarbayev University (2016)
Front-End Developer
BME MS student, Zhansultan works on developing AI-Ym web application.
BS in Computer Science, Nazarbayev University (2024)
Back-End Developer
Daniyal is a Software Engineer interested in web development and AI
BSc in Computer Science, Nazarbayev University (2024)
ML Engineer
Batyrbek is a Software Engineer interested in Data Science and Web Development.
BSc in Computer Science, Nazarbayev University (2024)
Researcher
MS in Robotics student, Aruzhan works on Kazakh Sign Language Recognition project.
BS in Computer Science, Nazarbayev University (2025)
Researcher
Kamila is a Computer Scientist working on generating visualisation of AI-Ym translation.
BSc in Computer Science, Nazarbayev University (2024)
Mukushev, M., Ubingazhibov, A., Kydyrbekova, A., Imashev, A., Kimmelman, V., & Sandygulova, A. (2022).
FluentSigners-50: A signer-independent benchmark dataset for sign language processing.
Mukushev, M., Kydyrbekova, A., Imashev, A., Kimmelman, V., & Sandygulova, A. (2022, June).
Crowdsourcing Kazakh-Russian Sign Language: FluentSigners-50.
Koishybay, K., Mukushev, M., & Sandygulova, A. (2021, January).
Continuous sign language recognition with iterative spatiotemporal fine-tuning.
Abutalipov, A., Janaliyeva, A., Mukushev, M., Cerone, A., & Sandygulova, A. (2020, October).
Handshape classification in a reverse dictionary of sign languages for the Deaf.
Mukushev, M., Imashev, A., Kimmelman, V., & Sandygulova, A. (2020).
Automatic classification of handshapes in Russian Sign Language.
