With so much technology around us, and the number of phones outweighing the number of toilets, it is nonsensical that many of the 285 million blind people around the world have to live in the dark. BlindVision orates the world for those struggling to see.

What it does

BlindVision is an image recognition system that allows the user to take a picture of an item or items. That image is processed via IBM Watson and it returns a list of items that are present in the picture, in real time.

How we built it

We used Android Studio (Java Programming) with IBM Watson's API.

Challenges we ran into

We ran into issues outputting the list of items, endless loops, and the app crashing due to memory problems.

Accomplishments that we're proud of

We were able to fix the above problems and optimize our app runtime.

What we learned

We learned about implementing IBM Watson into our app and delegating tasks to emphasize our strengths in a collaborative effort.

What's next for BlindVision

We would like to perfect our app by working in a human touch instead of a robotic voice, as well as work out any minor technical issues that may arise.

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