Inspiration
Since the start of coronavirus, it has become clear that our planet has been suffering from environmental damages that has been ongoing for decades - unusual climate change, wild fires etc are examples of such damages. One of the causes for this damage is food waste. Did you know that 80 billion pounds of food is thrown away each year in the US alone? Almost 40% of the US food supply is wasted each year, and $1600 is wasted on food wastes per single household. As a possible solution for this problem, we have built our web application, Cloud Pantry, that will help people reduce food waste - one cloud space at a time.
What it does
Our application uses image recognition to scan photos of groceries and upload the items in them to a database. That way the next time user goes grocery shopping they can use the application again and it will tell them if they already own something. Cloud Pantry can also show the user a list of their current groceries at home for reference against what groceries they may decide to get.
How we built it
The application was built with python using image recognition as a foundation. Django was used to create the web application and PostgreSQL was used to create the database
Challenges we ran into
Setting up the web application in Django proved to be a big challenge for us when it came to initially linking the front end and back end.
Accomplishments that we're proud of
We're proud that we were able to make a fully functional application with all the major features that we planned initially.
What we learned
As a continuation from our accomplishments since this was the first hackathon for all 4 the experience showed us a new work ethic and insight into project planning and design.
What's next for Cloud Pantry
The application can transitioned to mobile as well as the additional feature of keeping track of expiration dates and notifying the user when they are coming up.
Log in or sign up for Devpost to join the conversation.