Project Info
This project did not submit a demo video on Devpost.
Inspiration
Food can be tricky, especially for college students. There are so many options for your favorite foods, like restaurants, frozen foods, grocery stores, and even cooking yourself. We want to be able to get the foods we love, with the best experience.
What it does
Shows you and compares all of the options for a specific dish you want to eat. Takes data from restaurants, grocery stores, and more and aggregates everything into an easy to understand list. Sorts based on a relevance algorithm to give you the best possible experience.
How we built it
The frontend is HTML, CSS, and JS. The backend we used Python, NodeJS, Beautiful Soup for web scraping, and several APIs for getting data. We also used Google Firebase to store the data in a database.
Challenges we ran into
It was difficult trying to decide the scope, and what we could realistically make in such a short time frame.
Accomplishments we're proud of
We're proud of the overall smooth visuals, and the functionality of showing you many different options for foods.
What we learned
We learned about web design, along with data collection with APIs and web scraping.
What's next
We are hoping to implement the ChatGPT API to interpret restaurant menus and automate data collection.
Analysis
View
Metric
- 7
- 3
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
- CSSIn code
- HTMLIn code
- JavaScriptIn code
- FirebaseClaimed
- Node.jsClaimed
- PythonClaimed
3 of 6 appear in the indexed code. 3 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
44 KB
Source files
12
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
daniel-lief/CalHacks11
34 files · 1.5 MB · @ 963f5ac
Structure
Interface
6 files · 18%Screens, components and styles rendered to the user.
Application logic
5 files · 15%Domain rules, services and shared utilities.
Supporting
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- JavaScript63%
- CSS24%
- HTML13%
- Markdown0%
Share of indexed source by file size. Binary and vendored files are excluded.
This project’s features have not been analysed yet.
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