Proxima

Inspiration

We were inspired by medical technologies. We wanted to find a way to provide accessible medical consultations from everywhere.

What it does

This application uses AI to diagnose the user's medical condition based on their symptoms and vitals.

How we built it

The UI was built using HTML and CSS. JS was used to add more useful and user-friendly features to the app. Machine learning databases and libraries were incorporated with Flask.

Challenges we ran into

We found it challenging to work with Flask, and incorporating the ML databases with HTML code.

Accomplishments that we're proud of

We are very proud of finishing the project. It was a great learning opportunity.

What we learned

We learned a lot of new Flask and JS feautres.

What's next for Proxima

We will try to improve the ML part of the project.

Built With

• css
• html
• ipynb
• javascript