Project Info
This project did not submit a demo video on Devpost.
Inspiration
As an International Student having to cook for myself regularly, it is handy sometimes to get a recipe for any new food item you encounter
What it does
It returns the Ingredients and recipe required to cook any dish from the picture you upload.
How we built it
Frontend - I used React to build the UI and components Backend - I used Node and Express to handle the API calls and server modifications Gemini API was used to classify the image and return its recipe
Challenges we ran into
As I am a beginner and this is my second hackathon some of the major challenges were Building an end-to-end system for the problem Setting up routing for the right API calls and interacting with external API (Gemini in case) The Gemini API returns the answer in a single string Markdown format my major challenge was parsing the string and taking out the specific sections and subsections to display it nicely on UI side
Accomplishments we're proud of
Building this solo project end-to-end is nice progress in my career and doing it in a live hackathon makes me proud and more curious about making personal projects and adding technical complexity
What we learned
I understood the full workflow of a fully functional web app and how things work under the hood How to interact with external API's and parse the data they return
What's next
I am hoping to update it further for maybe adding a video description with each step in the recipe and adding resources to buy the ingredients
cookitUP - Anand
This application takes in an Image and give out the ingredients used to make the dish
For example if you input an image of pizza it will give you things required to make it such as
cheese, flour, pizza sauce etc
used gemini API to process the image which is given as input by the user
It is then processed by the API which then spits out the result to the user
Analysis
View
Metric
- 8
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
- ExpressIn code
- Google GeminiIn code
- HTMLIn code
- JavaScriptIn code
- ReactIn code
- Node.jsClaimed
6 of 7 appear in the indexed code. 1 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
16 KB
Source files
15
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
AnandRituraj/cookitup
146 files · 55.6 MB · @ 7c4ad53
Structure
Interface
3 files · 2%Screens, components and styles rendered to the user.
API & routing
1 file · 1%Request entry points: routes, handlers and controllers.
Application logic
127 files · 87%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
- JavaScript58%
- CSS35%
- Markdown5%
- HTML2%
Share of indexed source by file size. Binary and vendored files are excluded.
Dependencies
frontend/package.json
npm · 14- @google/generative-ai
- heic2any
- react
- react-dom
- +10 more
backend/package.json
npm · 6- @google/generative-ai
- axios
- cors
- dotenv
- express
- multer
Declared in the repository’s manifests at the indexed commit. A declared package is not proof it is used, and runtime dependencies are listed first.
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