Inspiration
The realization that people truly needed help in the hospital system was an inspiration. Which is a fact I especially know from familial experience. However, during the opening presentation the idea to make a patient safety platform came into my head. After researching for quite a bit I figured out that one of the number one errors which staff make is under dosing or over dosing patients on medication. Which as you can image ultimately can lead patients to death. So in order to make patient's life more safe MedNotify logs patient files in order to aid staff in correctly dosing patients.
What it does
MedNotify is a website with an AI named MedBot (created by us). MedBot captures patients faces and then displays the corresponding patient file. This allows for healthcare workers to view patient weight, height, age, condition, and medication immediately. Taking the stress off health professionals when it comes to treating the patient.
How we built it
We built MedNotify by using html and css for the front end of the website. And for the backend we used python and integrated parts of the html. Additionally, we used WolfRam Alpha in order to answer any questions health professionals may have.
Challenges we ran into
Some challenges we ran into were that one of our team members has never coded before so when making the frontend using flex boxes was very complicating at first. Secondly, at about 9am MedBot started to not register the website so it could not identify 'patients'.
Accomplishments that we're proud of
We are proud of making this as a whole!
What we learned
We learned a lot. Face recognition, how to use wolfram, frontend, and coding.
What's next for MedNotify
Next we would like to update the UI of the website in order to be more elevated and include all of the aspects displayed. Also we would like to make it into an app in order to make this a portable tool for hospitals to use.
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