Everyone in our team was affected by Hurricane Harvey. We found that it was difficult to have an organized way to find help and help others. We wanted to create a peer-to-peer platform that can be used to help those who need help along with giving volunteers a platform to help others. Our audience can be volunteers as well as officials such as police. The idea is to have a bunch of drones that go around and track individuals who need help and send help their way.

What it does

We have a platform that communicates to a drone that allows the drone to assess the situation (ex. a man and a woman trapped in water). All of this data is then plotted on Azure Maps so volunteers can see it and help these individuals out.

How I built it

We built it using Azure (Computer Vision, Maps), Python/ Flask, MongoDB, and Javascript.

Challenges I ran into

We all decided to learn new technologies and languages this hackathon rather than sticking to what we were already familiar with. Most of us have never used Azure or MongoDB. I was using Javascript for the first time. However, we learned a lot and it was a great experience.

Accomplishments that I'm proud of

We are all proud of learning something new rather than sticking to things we already know. We were able to develop a fully functioning application without many of the hardware needed. For example, we had to use several simulations and get creative for some things as we did not have a drone or a GPS.

What I learned

We all learned new technologies and languages. We learned Javascript, Flask, and how to use Azure Computer Vision along with Azure Maps!

What's next for S.O.S.

We hope to be ready for the next disaster. In order for this to happen, we hope to improve the Computer Vision to detect children/infants, and our model should be able to asses situations well. For example, it should be able to see a situation and determine what supplies are needed. Additionally, it would be good if we could provide a mapping of flood zones using Drone data along with elevation.

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