Hi!
I'm a sighted machine learning researcher that recently have caught an eye on the field of web accessibility.
Websites are primarily designed to be interacted with visually which is hard to do if you have a visual impairment. Here I think there's big potential for AI to help and look at the web page visually and then give correct and helpful information to the visually impaired user, in contrast to how many developers do it today.
Things I think I know how to implement:
\* Visual analysis of web elements. What kind of icon is this? Is this a photograph or digital image? Is there text in this element that the screen reader can't detect?
\* Assigning labels to input fields / forms
\* Assigning heading levels to text elements.
Are there any other problems that you think could be solved with AI?
If anyone wants to check it out I also recently made a proof of concept browser extension that takes any information dense web page and transforms it to its essentials, which I guess could be helpful for screen reader users. The algorithm is slow but it's a proof of concept.
Chrome:
$1 Firefox:
$1Any feedback is appreciated!