We were inspired by medical research and 2/3 team members perform neuroscience computational research.

What it does

It allows doctors to view the progression of Alzheimer's disease in a patient and to allow patients to better visualize the disease and how it affects their brain.

How I built it

We utilized Unity and Machine Learning to show and detect Alzheimer's disease in MRI utilizing Python, Kaggle, and C#. I downloaded an open source MRI dataset showing the progression of Alzeihmer's and made it Kaggle-friendly Trained a variational autoencoder to make 'pools' of data that we can later sample from. Each pool defines a stage of alzeihmer's and the pools sequentially overlap, making data generation easy if we move sequentially Finally (this bit is hypothetical) trained multi layer perceptrom to apply linear transform to encoded vectors, so both networks can work together and sample an accurate prediction from each pool

Challenges I ran into

Converting the data that the ML program produces to something that unity can display and to train the Neural Network Models.

Accomplishments that I'm proud of

We were able to set up the AR features.

What I learned

We all learned how to develop an AR app on unity and how to create a deepfake ML program to create MRI scans.

What's next for BrainMe

Developing a better UI to allow users to rotate and better view the brain, as well as comparing different models created at each timestamp to show the progression of the disease.

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