Ambulance App Design : A Simple Architecture Study

I’ve recently started to educate myself on the inner functionings of Architecture design. Let’s say that for this purpose, I’m starting out to establish an App which all Ambulance providers and peoplecan use to avail services for yourself or for others, without having to make a phone call.

The key components of the app are an intake service, a face recognition service and an care service. In conjunction with EMR Data, Google Maps/location data, all existing ambulance providers can leverage this app for faster turnaround, which makes all the difference in emergency situations.

The above is a simplified schema of the App. Here’s a breakdown of some estimates to build and deploy it. The cost of building and upkeeping this App is close to 200,000 USD.

Key highlights of the design are access EMR and geolocation data via an available repository. The costs with upkeeping and maintaining databases will be higher if these large databases have to maintained. The CNN Model training parameters and choice of GPU is based on and 50*50 photographs of all US. https://epochai.org/blog/estimating-training-compute (1000 epochs, 8M parameters tuned)

What are some other ways to design this app and how might costs be further optimized?

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