MedCloud

Inspiration

We aimed to create a medical database to enable healthcare professionals worldwide to access patient records quickly, thereby simplifying information processing time. Our goal is to develop an app that facilitates rapid diagnostics on-site for injuries, eliminating the need for patients to visit a hospital for diagnosis.

What it does

Our project compiles patient data from all across the country and combines them all into one central database. Through the power of machine learning, our application can predict potential diseases and other health risks that patients may have.

How we built it

We found a database off of Kaggle, then used VSCode to train a model to predict potential diseases based off of patient data. We then used SQLite to create a database to contain all the information, and built a simple interface on Figma.

Challenges we ran into

It took us a while to find suitable datasets that we could use to test our model, as a lot of them were incomplete or had strange inputs that wouldn't have been reliable to use. Another challenge was being able to train a model to reliably predict certain risks, as we didn't want our project to tell users that they had a serious health risk based on a small probability.