There are 151,000 BSL users in the UK alone yet this community isn't always recognised as much as it should be. We hope to increase awareness of the language and its community.
The main aspect of our vision is to integrate communities with the wider hearing population in an easy and accessible way.
Although our device was initially made for aiding the Deaf community, we hope it can be rolled out to schools and public places, to allow people to learn something new.
Ranita worked with both visual and physical aspects. From strategically testing implementation methods to research to determine if InterSign was meeting the requirements for the target audience , this role involved critical consideration of our mission.
This job involved making physical design prototypes through 3D print and evaluating the feasibilty of physical components chosen. Time had to be taken to test different sized embedded systems to ensure effectiveness was no compromised for size.
This job involves the machine learning side of things. Tasks included research on the best type of machine learning to use and what software would best execute it. It also involved developing the recognition software that works with TensorFlow to recognise images. Part of the job was using unsupervised machine learning and adapting what we had in line with its limitations.
This job involved working with the back end and front-end applications used in the project. Part of this was working with scripting languages such as PHP as our server-side language and looking at its interaction with the browser and MySQL (the database application). There was also work with HTML and CSS; these control the aspects the user can see (or sometimes interact with).
"We need to make every single thing accessible to every single person with a disability."
"If you are free, you need to free somebody else. If you have some power, then your job is to empower somebody else"