It is very hard to pay extremely close attention to a lecture and take good notes at the same time. At some point, there will be a discrepancy, and you might miss something important during the lecture because you were too focused on writing it down as opposed to thinking about what it meant. We invented something that would mitigate this problem.
What it does
It is an automatic note taker, where it takes the speech from the professor and turns it into text. The user then has the options of downloading it has a pdf, text, or word document to save for later.
How we built it
We used Adobe Dreamweaver for the HTML and CSS in order to make the website and Microsoft speech to text API for the speech to text functions. Adobe Illustrator was used to making the icons and the logo.
Challenges we ran into
Getting the API to work in the first place was extremely difficult. There were a lot of fine tuning and efficiency problems that prevented the program from running as smoothly as possible. The web design was also somewhat challenging at some points. Formatting CSS can be a little tricky.
Accomplishments that we're proud of
Getting the API to work at all and to have it run smoothly was an amazing accomplishment. A smooth and clean website to accompany it also didn't hurt.
What we learned
How to fully incorporate speech to text API and smoothly implement it into a program. This was also my first website, so I learned a lot of HTML and CSS.
What's next for autoNotes
Have it as a mobile app/chrome extension, maybe use wolfram alpha API in order to have math notation incorporated.