Team Name | Funka |
Track | Telecom & Media |
Use Case |
We want to improve web forms for everybody, including people with and without disabilities.
We would like to build a test solution to detect errors and improvement opportunities within web forms where the flow stars by user entering the URL of the form. The software then would take screenshots of the form via a headless browser and visually identify form elements through computer vision and ML, such as select, checkbox, input, button, text area etc. Then the other piece of the solution would search for them in DOM to find potential discrepancies between what is perceivable to human eye and the way those form fields are coded. If such discrepancies are found, they would be marked as potential problems in terms of standards, compatibility, and accessibility. After that point, we would like to generate a report with findings, why these could indicate problems and what kind of users/use cases they could negatively impact and how they can be fixed.
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Technology | Computer vision, OCR, ML, test automation, Web, HTML, JavaScript |
Region | EMEA |
Team lead | Umut Gultekin |
Team members | @umutgultekin Kadir Yazgan Can Egridere |
Social media handles |
https://www.linkedin.com/company/funka-nu-ab |
Is your team interested in participating in an interview? | Yes |
Optional: Expand on your technology expertise | Funka has more than two decades of experience on digital accessibility and inclusion. Funka is a leading accessibility thought leader when it comes to accessibility in the world. |
Jury video:
Pitch video:
Initial intro video:
We are looking for team members who are experienced in:
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