We were inspired to make this web application in order to make the weekly task of buying groceries easier and hence bring about some positive change upon the lives of others
What it does
Checkout.io was made to make the grocery shopping experience hassle free. Once a customer has finished shopping, they simply place their shopping cart in front of a camera connected to Checkout.io. The application will then return the name and price of all the items in the customers shopping cart.
How we built it
Challenges we ran into
Integrating all the different parts of our system was challenging. One such instance included us having to figure out how to send data from the front end to the back end so that it could be processed by the Tensor Flow Models.
Accomplishments that we're proud of
One of the accomplishments that we are very proud of is our ML model. It was able to differentiate with a high level of certainty between different items such as coke cans and water bottles. We tested with these items as they can be found in almost every grocery store.
What we learned
We learned a lot about system integration and about data formats that allow data to flow from client to server, such as JSON and XML.
What's next for Checkout.io
The next step for Checkout.io would be to better perfect our model for detecting objects. Ideally, we would like to have our application require the shopper to make no adjustments in the positioning of items in their cart, hence requiring our application to pick up on items that are overlapping.