Using Deep Learning to Classify Pregnancy Test Results

Using Deep Learning to Classify Pregnancy Test Results

World Health Organization estimates that there are approximately 36 million people with blindness. It's also estimated that around two thirds of this popu- lation is women, which is approximately 24 million. From discussion made with Bogazici University As- sistance and Education Center for Visually Impaired (GETEM), we have learned that young, visually im- paired women have no private way of taking a preg- nancy test and understanding the result. They ei- ther need to get outside help, be it a friend, family, or spouse, or they need to visit a hospital. While this might sound like a trivial problem to many, this information is extremely private and important to visually impaired women, and people with such dis- abilities have the right to easily access this informa- tion. Firstly discussed idea was to create an em- bedded system with a digital pregnancy test, that'd read out the result for the user. While this would be more usable, it would not be accessible enough - the visually impaired might not be able to cover the cost of such a device, since the production cost would be much higher than an ordinary test.

Project Members: 

Bahadır Öncel

Project Advisor: 

Fikret Gürgen

Project Status: 

Project Year: 

  • Fall

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