SaveSmart is a modern solution to help deal with food waste in the United States. Inefficient planning in supermarkets contributes to 43 billion pounds in unused inventory, and current solutions are more concerned with individual store fixes than better central planning.

What it does

SaveSmart utilizes the transaction data that stores already accumulate and uses this information to create recommendations and predictions using algorithms to supplement inventory planning.

How we built it

We used HTML and CSS for a front end meant for a user to add new transactions, and then we connected this to the backend hosted on GC and cockroachdb to store and manage our data.

Challenges we ran into

We ran into difficulties connecting the front end to the back end due to the various software and languages we were using (HTML, CSS, GCP, cockroachDB, python, SQL), and learned that simplicity is key in complex systems like the one we built.

Accomplishments that we're proud of

We are proud of our ability to connect the front end and backend considering the several softwares we ended up using as well as the outcome of the frontend considering neither of us had experience in html before.

What we learned

In this project we developed a strong knowledge of software like cockroachDB and its unique value in storing decentralized data, as well as how to use databases in conjunction with Google Cloud Platforms and connecting such to an appealing front end web app.

What's next for SaveSmart

As we continue to work on this project, we will develop more and more accurate models for the grocer to use. Once we do this, we would look to getting our code to have a real impact by reaching out to local grocery stores to use our predictive model.

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