Inspiration

Once in winter times we waited in long queqe for doctor appointment which was hard as we had little childrens in bad weather. Thats when we thought what if we can do all this from our home easily thats when we came up with this idea.

What it does

The App as well as the system behind it aims to improve accessibility for patients , reduce wait-times and crowding at Heath centers and reduce response and critical-care time during the case of an emergency.

How we built it

We used React Native framework to create our prototype

Challenges we ran into

Choosing right algorithms for model training. Integrating different features and Api's.

Accomplishments that we're proud of

We learned so many new things in last 48 hours which we never expected.

What we learned

During the course of development of this project , we learned a lot during this journey in these few days from conceptualizing the idea behind this App to finalizing the individual components involved and framing a prototype. During this project, we have learned executing the Frontend/Backend development of Apps , API Integration into the App and developing a user friendly UI that is simple to understand , Developing a model for the AI Allocation/Detection that will Help the App become functional.

What's next for Smart Patient Allocation using AI

The Smart Patient Allocation Model (SmALL) is an integrated AI / Database Model that uses AI detection to determine the available slots which are in turn managed by the respective backend model.

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