Key of values, then examples of usage
Many people aren't sure when they should go to the doctor or not, and this seemed like a good way to help deal with that issue.
What it does
It presents a form to the user; they can choose multiple items from a large list of symptoms. It then takes those symptoms and compares it with a table of disease-symptom relations from our database. It then analyzes the severity of the symptoms given and the severity of the diseases that match those symptoms and indicates to the user whether they should just go about their day, stay home and rest, consider visiting a doctor at some point/the nearest possible convenience (depending on the severity of course), or if they require immediate medical attention and need to call an ambulance.
How we built it
Challenges we ran into
A solid dataset to use is hard to come by; we had to search online for hours just to find something relevant. Breaking down that dataset into the form we wanted and moving it into a database took even longer. Initial setup time eliminated the possibility of machine learning being implemented as we had planned.
Accomplishments that we're proud of
Though we did not use the method we wanted to, we accomplished the goal we set out to do.
What we learned
Good datasets are hard to come by, and things will always go wrong in development.
What's next for ShouldICallAnAmbulance
While we currently have no concrete plans on implementing these features, the doors are open for us to add things like Google Voice integration, automatic calls to partnered doctor's offices, and more.