Machine learning applied to The Third World

Created by Saud Zulic.

I'm a Product Manager in Copenhagen, Denmark. I'm currently freelancing. Previously, I've worked at Arriva A/S, Danish Chamber of Commerce, Copenhagen University. I earned a M.A. from University of Copenhagen.

Project Description

Imagine if you could use the power of machine learning and artificial intelligence to diagnose diseases of people in Third World countries and potentially save lives. That's the aim of this project. How? Well, I imagine a prototype could replicate the drill-down capabilities of the rather amusing "Akinator, the Web Genius" combined with the image recognition capabilities of the mole detection app "skinScan" ( General use case: The app asks a serious of questions (symptoms) and if needed, also asks the user to supply an image of the infected area. The output is a diagnose of the top 3-5 most probable diseases that the user is likely to get.

My motivation for building such a product is to give medical advice/support to people that can't afford it. It can be used standalone or it can be used in the initial part of a doctor's visit. I truly believe that such an app/website can make a difference in the world for those that needed the most.

I know how to prototype and I can do some of the front-end. However, I can't do the rest (the most critical part) on my own. The project needs the briliant Backend Engineer and Data Scientist, skilfull in algorithms who can create a working prototype.

Project Goals

  • Build prototype

  • Collect user feedback

  • Improve prototype

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