A web application that, given a URL, scans the webpage and returns feedback about its accessibility.
Uniweb Access is developed by Ksenia Rozhdestvenskaya, Khrystyna Tsiupa, Elizabeth Howell, and Elijah Meshnick.
Our aim is to provide a tool for web developers to assess the inclusivity and accessibility of their sites to a wide variety of users, including those with disabilities. We base our assessments on the Web Content Accessibility Guidelines (WCAG) and the checklist created by the A11y Project.
Visit our deployed application at http://uniweb-access.herokuapp.com
LinkedIn: https://www.linkedin.com/in/elijah-meshnick/
Github: https://github.com/emeshnick
LinkedIn: https://www.linkedin.com/in/e-m-howell/
Github: https://github.com/bethhowell123
LinkedIn: https://www.linkedin.com/in/christidev/
Github: https://github.com/vanderwooodsen
LinkedIn: https://www.linkedin.com/in/ksenia-ro/
Github: https://github.com/KseniaRo
- Javascript
- React
- Puppeteer
- Chart.js
- Redux
Our backend was created with Node.js, Firebase, Express, and deployed on Heroku.
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Users can input a URL for our application to test
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Uniweb Access will run a series of tests on the requested site and calculate scores based on the site's accessibility
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In addition to individual test scores, we offer visual representations of your result data and a comparison to the average score of all sites we have previously tested
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Allow users to create an account and save their scan results to reference later
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Integrate Google Lighthouse for more comprehensive results