Over 500,000 Americans go bankrupt annually because they can't afford medical bills, and this often happens because it's impossible to guess how much a procedure is going to cost. BPM uses AI and machine learning to estimate your healthcare bills and suggest how to lower them based on your lifestyle.
The greatest change the US healthcare system can make is expanding accessibility, and this is my proposed solution for doing just that. I had thought about doing some "cool" and "flashy" project, but I wanted to drive actual change, and this was how I thought I could best do that.
Luckily I picked a simple but very powerful idea, so the most challenging part of this hack was integrating Azure's ML Studio into my custom-made webapp. As is always the way, I still think this could be smoothed out as it makes an API call to an Azure Web App which then calls to a Kubernetes cluster instead of making requests directly, but I'm happy with it as it's just a demonstration.
My philosophy was always to keep things simple- I constantly see engineers and scientists hyper-fixating on small details, and whilst it's great that they have genuine enthusiasm for their work it often serves as their undoing. My hack demonstrates a simple concept with some machine learning in the background. Could it do something more complex and impressive? For sure. Do more impressive hacks exist? Certainly.
However, I'm satisfied that my hack makes a point about the state of US healthcare, and then offers an effective solution.
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