rootsToRetail

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Inspiration

We found that sometimes it may be difficult for restaurants to pinpoint the most efficient and cost-effective way to find ingredients for their business, so we came up with this app idea that helps them analyze the factors associated with finding the proper suppliers within their budget.

What it does

Roots to Retail aids restaurants in finding the most suitable food supplier while accounting for factors like distance, food quality, stock level, food storage and handling practices, and nutrition when deciding what supplier/ingredients they need the most.

How we built it

Our team used React for the front end, Firebase for the backend, as well as ChatGPT & API calls for the produce information.

Challenges we ran into

One of our biggest challeges was finding a good API to track local produce and groceries, some APIs have more features but were not functional. We also had to figure out a way to effective deliver the info to the user

Accomplishments that we're proud of

We are proud of our front-end, as we tried putting thought into how the user would interact with the website comfortably when browsing different suppliers.

What we learned

Time management and learning to put everything together are things we had to delve into and learn in order to complete this project. We also learned how to grow more accustomed to version control with Github.

What's next for rootsToRetail

It would be preferred if we put more work into incorporating the backend with the rest of the project and getting ChatGPT to be more functional within the web application.