As a finalist project from the event, the EquiBraille team was awarded with an initial $8,000 support to continue, an internship with VentureWell and the Clinton Global Initiative and additional seed funding for the work. Now, EquiBraille is on the way to an expansive impact.
Keval Shah, technical lead for the project and a sophomore majoring in computer science, shared the inspiration behind EquiBraille. “Something that really stood out for us was that, in the current education system, many visually impaired students need a visualization for what’s happening in the class,” Shah said. “They want a way to read materials on the board during the class, instead of receiving notes a week or two later…which can happen.”
“What if we can make something that visually impaired students could use to have a better education and be able to achieve their dreams?” Shah asked. The developers’ goal? To equip ASU classrooms with new cameras and also expand EquiBraille to other schools and institutions.
EquiBraille is built on an ultra-low-latency connection, which makes internet communication nearly instantaneous. This reduction of “lag” allows in-class cameras to read white or chalkboards and then transcribe and translate writing using artificial intelligence (AI). This information is then sent, in real-time, to a physical braille board.
The board is flat in its default state, but once the transcription is sent to it, mechanical pieces spring into action, raising and lowering the characters necessary for visually impaired students to read what is written on the whiteboard directly in front of them in braille.
As part of their summer experience, the team developed a business plan for EquiBraille and conducted interviews with stakeholders, such as disability centers, visually impaired organizations and students, and the educators who work with them.
EquiBraille’s solution will offer braille translation in near real-time, using the power of 5G networks’ speed and AI. The team, now a trio between Sheshradi, Shah and Ananya Yadav, noted that they plan to utilize classrooms at ASU already outfitted with cameras for their initial trial.
The team will focus on entry-level math and English courses to measure visually impaired students’ performance before and after the introduction of EquiBraille. This information will allow the developers to continue improving the experience.
Written by Tristan Ettleman; photos by Mike Sanchez.