Problem

Deaf individuals often face communication barriers when interacting with people who do not know sign language. This can lead to misunderstandings and frustration for both parties. Additionally, learning sign language can be time-consuming and difficult for those who are not deaf themselves.

Our team recognized the need for a solution that could bridge this communication gap and make it easier for non-deaf individuals to communicate with their deaf peers.

Learn more about our project here.

Solution

We developed a native language to sign language generator that uses machine learning algorithms to translate spoken or written words into sign language gestures. Our platform is accessible through a web application, making it easy for anyone with an internet connection to use.

The platform utilizes a large database of pre-recorded sign language gestures, which are matched to specific words or phrases using natural language processing techniques. The resulting output is a video of a person signing the corresponding message in American Sign Language (ASL).

Impact

Increased accessibility and communication between deaf and non-deaf individuals
Reduced frustration and misunderstandings in everyday interactions
X% increase in usage of the platform over the past year

"This platform has revolutionized how I communicate with my deaf friends and colleagues. It's so easy to use and has made such an incredible impact on my life."

Team

Team Member #1 - Software Engineer
- Oversaw the development and implementation of the machine learning algorithms
- Managed the database of pre-recorded sign language gestures
Team Member #2 - UX Designer
- Designed the user interface for the web application
- Conducted user research to ensure accessibility and ease of use for all users

Native Language to Sign Language Generator