Inspiration

We got our inspiration from a video we found on twitter where it showed you how you can read at up to 500 wpm (normal is 300) without having to move your eyes. We decided that we would use AssemblyAI to create something that would allow people to read faster than normal given an audio file.

What it does

The program takes in a video/audio file, transcribes it to text, then allows the user to speed read it with input in WPM.

How we built it

We built it using the Tkinter library in python

Challenges we ran into

Some challenges we ran into were collaborating and working with the API. It is hard to collaborate on code if you are not actually in person with each other. Thus, it was a challenge setting up how we would share our code. We also had some trouble with the API. Because the API requires multiple calls, it makes the code much more complex and caused us great difficulties.

Accomplishments that we're proud of

We are proud of how we were able to collaborate. We thought it would be hard to easily share our code, but once we set up the github, it was smooth sailing from there.

What's next for Speed Reader

We hope that we can expand this program into a web application to make it much more accessible

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