We were inspired to make this because of a constant need for study rooms and a constant need to look for an open one since they are normally taken and can take upwards of five minutes per building looking at them

What it does

It automatically detects surrounding signals and submits them to a web server to sort by building and distribute to UTD students

How we built it

We used an Adafruit feather for wireless device detection and submission to an AWS Node.js server using

Challenges we ran into

We had a hard time implementing out custom backend into the AWS framework and getting the Adafruit feathers to send and sniff for data

Accomplishments that we're proud of

We made a compact solution for sniffing and sending in an orderly fashion and created a minimalistic webpage that although not pretty is very functional

What we learned

Team management is very important in a project especially with competing interests and project priority

What's next for openSpaceBackend

We plan on implementing this service around campus as well as improving the back end and front end website. The sniffing is currently very inefficient and I believe that there is lots of room for improvement in that regard as well

Built With

Share this project: