Inspiration
Alot of people have no access to basic healthcare. Our deep learning software will provide a web service that provides a solution. Many people can use our services to diagnose their conditions based off their symptoms online
What it does
The software we have uses deep learning with two extracted datasets to allow users to enter their list of symptoms through a UI with HTML/CSS/PYTHON/SQL/FLASK and predict the disease with a 96% accuracy.
How we built it
We first had the challenge of finding the right datasets to use to solve our problem. We had two datasets to extract from and process with Tenserflow and Keras. The UI was done in flask/html/css to provide people with a user interface that will be used as perimeters to figure out their condition.
Challenges we ran into
We ran into the challenge of combining our datasets and running this data through our deep learning algorithms to predict your disease.
Accomplishments that we're proud of
We created a platform that allows everyone who does not already have access to healthcare to get accurate predictions about the disease with a 96% certainty.
What we learned
Extracting separate sets of data to solve a problem.
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