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Our Web-app's Front Page
Inspiration
We saw that it was hard for doctors to get the patients' medical information and analyze them
What it does
Our Medical AI takes in a CSV file with a patients' data, and it provides the doctors with different Modules to use to analyze the data, and provides them with an analysis.
How we built it
We used python and Keras for the deep learning algorithms to generate the models, and we HTML/CSS/JavaScript to make the website that hosts the program
Challenges we ran into
Our Algorithm was programmed in Python, so it a challenge we found was making it possible for the JavaScript that runs on the browser to run the models we created.
Accomplishments that we're proud of
We're able to create a semi-functional front-end in the short time period allotted, especially since our data analysis skills were not high end compared to the others.
What we learned
I learned how deep learning can be used to classify things using large data sets, and how Javascript and HTML and CSS interact to create the front end of websites.
What's next for Medical AI
The next steps would be to create a Doctor and Patient View, and add more modules that can be used to create a fully accurate model of probable diseases, etc. Also, we would make the front end for entering the values for the Patient Data more user friendly
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