Inspiration

United Airlines does not only break guitars and beat doctors, but they also kill a lot of pets. Many of these pets die due to hazardous environmental conditions in the baggage hold while others die due to poor conditions in the intermediate transportation.

This is not just a problem with pets, but also with children. Dozens of children die because they are left in a hot car each year. Many of these cases are not malicious or neglect, but absent mindedness which can be fixed with a system of alerts.

What it does

CareWear is a wearable which detects the environmental conditions around a child or pet and reports those results in real time to our React Native mobile application. A parent or pet owner can see those conditions and know if there is a danger to their loved one.

How we built it

It was built with an Arduino Uno as the core of the sensor unit, React Native on the front end, and a variety of interface languages such as Java and Processing in the back. The UI/UX design was made in Figma, and prototyped in Invision.

Challenges we ran into

There was great difficulty in connecting the data from the Arduino to the app itself due to the hackathon location having a captive portal which prevented the unit from fully connecting to the Wi-FI. A workaround consisting of a Processing script which fed a Java script which called a HTTP request was used to move the data.

Accomplishments that we're proud of

We have created a beautifully designed low cost application and sensor product which could save the lives of family members. We also seem to be one of the few hacks which is integrating hardware and unusually so to have such a well designed interface for it on the front end. We also made a mock feature website for this hypothetical product which can be viewed here: https://invis.io/6ENPY0YDK5C#/316426469_Feature_Website

What's next for CareWear

CareWear is designed to save the lives of those who we love most, but it has further applications in things such as produce and milk shipment as well as supply chain analysis.

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