Neural Network powering Melanie, an iOS application that diagnoses skin cancer through pictures of moles
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Dataset Generation
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README.md
label_image.py
retrained_graph.pb
retrained_labels.txt

README.md

Melanie - The Pocket Dermatologist

An iOS application that diagnoses skin through pictures your skin

Inspiration

We're both mole-y dudes. After becoming concerned about a potentially cancerous mole, we decided to write a neural network that can look at a mole and diagnose whether or not it's cancerous, as well as an iOS application to interface with it.

What It Does

  1. Open the application
  2. Take a picture of the area in question
  3. Receive your results and confidence levels

How We Built It

We're early in the development phase, but the current plan is for a phone to take a picture, resize it, and send it to AWS Lambda. Then, AWS Lambda should run the picture through a neural network hosted on an AWS EC2 instance, and returns the diagnosis and confidence

Challenges we ran into

TBD

Accomplishments that we're proud of

TBD

What we learned

TBD

What's next for Melanie

TBD