DeafKIT is a sign language translation mobile solution: it converts gestures of sign language into text to help deaf people to talk to hearing people.
  1. Winners. Hackathon 2025. Skolkovo. Moscow, Russia.
  2. World Finalists. Imagine Cup 2018. Seattle, USA.
Who is the solution for:
Over 5% of the World's population, or about 500.000.000 people, has disabled hearing loss. DeafKIT can help them - translate signs into text in real-time.

How is the solution works:
  1. Deaf starts video fixation.
  2. Algorithm detects and recognize gestures.
  3. Hearing gets the translation as text.
Mobile version of DeafKIT
Sign language translation automatic solution, mobile version
We are looking for partners:
  1. Social networks to discuss building the solution into it.
  2. Accelerators & Funds to discuss pre-seed of $12.000 investment.
  3. Mentors & Angels to grow the project together.
  4. Youth Leaders & Coders to work for that and other projects.
DeafKIT uses the unique technology of hands recognition, which allows us to detect gestures with about 90% of accuracy now. We recognize an arm and a hand as a skeleton, a sum of shapes and dots, as you can with help of leap camera but without it, using an ordinary one.

  • Traditional translators
    • High price
    • Doesn't scalable
    • Low level of intimacy
  • Hardware solutions
    • High price
  • Remote solutions
    • High price
    • Low level of intimacy
DeafKIT can be used in anywhere, with any type of video camera. That makes DeafKIT achievable, useful and scalable.
Solving global problems, such as hunger or water shortage, is not in our competence. But if we can use neural networks to solve the issue of sign language translation, then why not do just that. If you can take on the implementation of some of your dreams, or dreams of someone else, then you should do just that

Ama Kopylova
CEO & Co-Founder
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