We wanted to develop something that had a global impact using the skills we have acquired.

What it does

Our project uses a machine learning neural network algorithm that uses training data with various features. We then used Flask to display it in a website format, connecting the elements of Python and HTML.

How we built it

We used a powerful machine learning algorithm to determine if a person has breast cancer. Our model was a Neural Network, which we made using Keras and NumPy.

Challenges we ran into

Flask was entirely new to us so we had to essentially learn it all during this hackathon. Also, it was difficult to combine the elements of Python and HTML together.

Accomplishments that we're proud of

We were able to combine machine learning with Flask to make a great first hackathon project, and we chose a project that will help others.

What we learned

We learned how to develop our own Neural Network using common libraries like NumPy and Keras. We learned in depth usage of the different parameters Neural Networks use to develop algorithms. For the web page, we learned how to implement Flask, and bring Python and HTML scripts together to operate as one.

What's next for Breast Cancer Detector

We will make the website more user-friendly and allow users to put a variety of data and adjust their own hyperparameters with a base Neural Network. Next, we will continue to test our parameters to make our model even more accurate.

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