This assignment acquainted me with not just the tools available for assessing accessibility of
webpages, but the flaws that the webpages that I use regularly have. It is very easy to overlook
flaws in a website if one is not empathetic enough and if we leave some gaps in a manual
evaluation. On the flip side, it is important to manually evaluate too, as the automatic tools
may not take into account the edge cases.

I found my findings using WAVE to be more detailed than the ones I manually detected. For
example, I couldn’t pick up a certain contrast violation because the text looked normal to me,
but it was detected by WAVE.
The WAVE evaluation, however, gave a few warnings that turned out to be false. For example,
it detected certain alt text entries to be redundant, while they were needed for
comprehensibility.
The screen reader was able to describe images even without the Alt text because of the ARIA
elements present, which WAVE detected, but it still flagged the lack of alt text.