Inspiration
While exploring the different winners for the NCR Challenges from previous years, we found a project (Foodie Buddie) that inspired us to use the NCR API as a way for consumers to easily order after being recommended food that's fit for their budget and preferences.
What it does
After getting onto the site, you set your preferences and your current budget and it will sift through existing restaurants to find good food using a custom-built price rating system, user rating system, and a preference on food items.
How we built it
We built it using Python, Django, and the NCR BSP API. Django is used to set up and run the website and we used the NCR BSP API to handle orders after a user has decided on a restaurant.
Challenges we ran into
The main challenges we ran into were figuring out how to use the NCR BSP API, coming up with creative ideas, and also learning the tech/languages we had to use.
Accomplishments that we're proud of
We came up with an awesome idea, came up with a design document that includes how data is modeled, delegated work properly towards people with expertise, then executed well on our idea.
What we learned
We learned so much altogether in terms of trying to come up with a practical idea and exploring the NCR API's to see how feasible it'd be.
What's next for Fudge-it
We can see how we can populate Fudge-it using geographical data from the Google Maps API and how we can upgrade our price rating system and use something like the dollar sign system seen on Google Maps.
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