Every summer, when college students leave used furniture out on their curbs for trash collectors to pick up. This causes quite a bit of waste, about 9.8 million tons per year. We wanted to reduce this number as much as we possibly could and as a result, we came up with this idea.
What it does
Our app allows the user to take a picture of the used furniture that they want to put out. Once the picture is taken, it is tested on a model to check for whether or not it is a household object (of the type desks, couches, chairs, TVs/monitors, and refrigerators). Then, the user chooses the date when the furniture will be picked up by the trash collectors. A pin is then placed on the map where the picture was taken and users are able to find the piece of used furniture by utilizing the map on the app.
How I built it
Utilizing Swift, Tensor Flow and Firebase, we created our application.
Challenges I ran into
Our challenges included creating the model, being beginner iOS devs, and utilizing the APIs in their intended fashion.
Accomplishments that I'm proud of
What I learned
We now have a better grasp on how Swift and Firebase work.