Ily.ai

Inspiration

The process of finding help at hospital is often difficult to navigate and often requites a lot from patients when they already have a lot more to worry about. Finding out which healthcare place you should go to is also difficult. The pre-screening process can also be really time consuming and difficult to navigate. Many, many people end up going to the wrong healthcare facilities for their requirements which not only wastes the patients time but also the doctor's time. This issue causes a lot of disorganization across hospitals and often spreads resources a bit more thin than they needed to be.

What it does

lly.AI efficiently streamlines the healthcare process for both patients and healthcare facilities. By providing users with information on the most suitable healthcare facilities for their current condition and enabling them to register on hospital databases, we can minimize the overall wait time and reduce the burden on the healthcare system from patients who go to suboptimal locations for treatment.

How we built it

This was built through the use of OpenAI's chat API while making use of express and typescript. The frontend was built from React, TypeScript and Tailwind.

Challenges we ran into

We ran into issues with the API as well as issues with tailwind and TypeScript.

Accomplishments that we're proud of

We're really proud of our pitch and we're really happy with the idea. We came up with it for a topic we had no prior knowledge of and we believe we did a pretty good job with it.

Built With

• express.js
• figma
• openai
• react
• tailwind
• typescript