Skin cancer is a major public health problem, with over 5,000,000 cases diagnosed just in the United States every year. Melanoma is the deadliest form of skin cancer, responsible for an overwhelming majority of skin cancer deaths. In 2015, the global incidence of melanoma was estimated to be over 350,000 cases, with almost 60,000 deaths. If diagnosed, when tumors are still at a thinner depth, as well as improved treatment and surgical techniques. Population In the US, • The 5th most common cancer in men and the sixth most common in women. • Medical costs to treat skin cancer are estimated at almost $2 billion annually. • In 2018, it is estimated that there will be 91,270 new cases of melanoma and 9,320 deaths from the disease. • In 2018, 5,990 males and 3,330 females are expected to die just in the U.S. • 1 in 5 Americans will develop skin-cancer in their lifetime. • 1 person dies of melanoma every hour.

What it does

Detect skin cancer (melanoma) & different moles with a 75-90% accuracy.

How we built it

1] Got data for Skin Cancer from 2] InstalledTensorflow 3] Segregated Data on Basis of Benign and Malignant 4] Trained a CNN (convolutional neural network) for the segregated data 5] Created a python Cherry Pi Server as a mediator 6] Created a Web Interface using HTML/CSS/Javascript for a front end

Challenges we ran into

The cherry pi server on python could not establish a continuous connection to the tensorflow library. Had to write a different python script to establish the same and edit the label file from the tensorflow codebase.

Accomplishments that we are proud of

I'm proud of not attempting to incorporate any of the company's APIs just to be eligible for their prizes because that would have caused unnecessary complexity and distracted me from achieving the main goal.

What we learned

Have patience. The code is not working because you didn't code it to work. Different levels of Skin Cancer (melanoma) Causes and how doctors might address it.

What's next for Mel-Classify

Raise money & publish on the internet for the world to use as a preliminary test for detecting skin cancer (Over the cloud, probably using AWS Web Services)

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