Skin cancer is the most common form of cancer, globally accounting for at least 40% of cancer cases and the most common type is melanoma skin cancer, which occurs in at least 2–3 million people per year.

- This talk will focus on the insider aspects of how to solve it with the solution built completely on Power Platform from Microsoft Azure, as well as other Azure serverless offerings
- I'll be presenting a demo and a code walk-through on how this entire application functions (source code is open sourced)
- I'll deep dive a little into the image classifier, the abstract-level flow goes something like this, employees/nurses in the hospital can add a new patient and upload their skin sample image into the blob storage which triggers a callback and goes through the ML model for initial screening, the result is mailed to a dermatologist for closure. Once this is done, an appointment is scheduled automatically if cancer is detected and these are recorded in SharePoint List. The dermatologist can view the slots booked and the patient details.

Finally, I'll talk about the problems I faced in actually getting the image from Power Apps to the Function App.