MediCareAI

Inspiration

Many people in our team have experienced the lengthy 2 hour lines in the ER only to meet with the doctor for just 10 minutes and told to be "just fine". We wanted to involve AI in the medical system to help boost efficiency in the ER.

What it does

MediCare AI takes in patient symptoms and other components to analyze and then summarize a report for both the patient (what questions to ask, what it possibly could be) and on for the doctor (the questions patients have and the symptoms and situation). Patients are able to choose a doctor who will be assigned to the patient and then can easily respond online.

How we built it

We used Base 44 and google collab to develop a tool and game under our ai model both to raise awareness for hospital inefficiency and provide proper support for doctors and patients.

Challenges we ran into

Initially, we attempted to develop the app with antigravity, though we there were a lot of bugs that were difficult to resolve, prompting us to adapt to the situation and attempt a different strategy.

Accomplishments that we're proud of

We are proud of the fact that we even developed any sort of app involving AI, especially since our team developed both an innovative tool and an engaging game.

What we learned

During this experience, our team learned a lot about the app development process and gained new insight into how complex these startups are.

What's next for MediCareAI

In the future, we hope to partner with large hospital institutions after more prototyping and testing. MediCare AI has much to improve on, such as including a doctor account that they can access.