Project Info

SmartPlate

Devpost

This project did not submit a demo video on Devpost.

Inspiration

As college students new to the apartment life, we've spent lots of time trying to figure out the best recipes that we can cook, based on the ingredients that we currently have. We built this website to make the process of cooking meals easier and more streamlined.

What it does

You can input your preferences about allergies, prep time, and the ingredient you want to be featured the most in your recipe. Our website will search through a database of recipes and find the recipe most tailored to your needs.

How we built it

We used HTML and CSS for our front end on Microsoft VS Code, and used node.js for our backend server. We also used sqlite to store our database of recipes as well as to query the data.

Challenges we ran into

It was difficult for us to send and retrieve HTML data from ports using node.js.

What we learned

We learned a lot of new technologies as we experimented with what path we wanted to take when approaching the construction of this project.

Analysis

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Metric

Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.

Technology

Found in codeClaimed only
  • CSSIn code
  • HTMLIn code
  • JavaScriptIn code
  • ExpressClaimed
  • Node.jsClaimed

3 of 5 appear in the indexed code. 2 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.

AI coding agents

No AI coding agent signals were found in this repository.

Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.

Codebase size

Source size

8.0 KB

Source files

8

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

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