SLAIT develops real-time sign language recognition and translation technologies using computer vision and machine learning algorithms to facilitate video communication. This technology enables the deaf and hard-of-hearing community to engage in virtual interactions without barriers, enhancing accessibility and inclusivity.
Funding
$120K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Learning American Sign Language (ASL) traditionally requires in-person instruction or pre-recorded videos, which can be expensive, time-consuming, and lack personalized feedback. This limits accessibility and hinders effective skill development for individuals seeking to learn ASL.
Solution
SLAIT School offers an AI-powered online platform for learning American Sign Language (ASL) that provides real-time gesture recognition and personalized feedback. The platform allows users to practice signing skills in a natural, conversational manner, anytime and anywhere. By leveraging computer vision and machine learning, SLAIT School delivers an affordable and accessible alternative to traditional ASL education, enabling users to learn at their own pace with interactive exercises and quizzes. The platform adapts to the user's learning style, providing customized lessons and immediate corrections to accelerate proficiency in ASL.
Target Audience
SLAIT School targets individuals interested in learning American Sign Language, including students, families with deaf or hard-of-hearing members, and professionals seeking to improve communication skills.
Features
- AI-powered gesture recognition for real-time feedback on signing accuracy
- Interactive exercises and quizzes to reinforce learning
- Personalized learning paths tailored to individual progress
- 24/7 accessibility for convenient practice anytime, anywhere
- Comprehensive curriculum covering a wide range of ASL signs and phrases
- Progress tracking to monitor improvement and identify areas for focus