TAMUHack2020

Detection subject color in pictures for color blind people. The input is an image, and the result consists of a square in the middle of the picture fill with the dominant color. When I tested the program with different pictures, I realized there are some colors that don't have specific names (because they are too interesting?)

What inspired me?

I think color is one of the special aspects of our life, and it will affect human life experience if we cannot recognize colors. I'm writing this app to help color blind people in their daily life, from buying their favorite jeans color to separate medicine pills (and finding your M&M)

What I learned?

I learned how to use Google Vision API, Python, and Flask (although it didn't go well... but never too late to do something right?)

How did I build?

I used the Google Vision API and their attributes to detect the dominant color.

Challenges I faced

I never code an application in Python, so it was all new for me to get used to. The Google Vision API (really!) taught me how to read the documentation and customization it. In the process of deployment the application, I also learn more about the client and server actions. It was painful, but the experience was worth it!

Next step

Web application using Flask! (and Android Studios :p) A better algorithm to frame subjects

Credit for photo testing: Photo by Mae Mu on Unsplash

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