ingredient-backend

IngredientCheck

A next level label reader that takes the and extra step by comparing the label to a list.

General Info

IngredientCheck helps usersby scanning labels and checking them against the list of ingredients you input. Does a simple comparison to match ingredients that users want to avoid.
🎶

Inspiration

Through to mhy love of cooking and hosting, I have found that

Intro Video

Technologies

• Node: version 15.0.1
• multer: 1.4.2
• cors: 2.8.5
• JavaScript: version 1.1.1
• JSON: version 2.3
• body-parser: 1.19.0
• express: 4.17.1
• nodemon: 2.0.6

Setup

To run this project, create a folder on your local environment where you can clone "ingredient-backend" from GitHub repositories. Open in your code editor.

From your backend folder perform the following commands:

Use the command to start your NPM: npm init

In your terminal, install express: npm install express

You don't want to send your node-modules to github, in terminal: touch .gitignore

require express in your index.js folder

Use terminal to install multer: npm i multer

Use terminal to install cors: npm install cors

Use terminal to install ejs: npm install ejs

last but not least install Tesseract: npm install tesseract.js

*Please note that some features are still a work in progress.

Instructions

1. Check out the backend capabilities!
2. npm start
3. Go to your browser and go to localhost:7001
4. Manimulate the string to have ingredients you want it to catch
5. upload a label and hit convert

Code Example

Comparison function:

function compareStrings(string, photoWords){
  let newString = string.split(' ')
  let updatedphotoWords = photoWords.split(' ')
  let matchingWords = newString.filter(element => updatedphotoWords.includes(element));
  return matchingWords
}

Async Function to run Tesseract worker that changes photo image file to text:

(async () => {
  const worker = createWorker();
  await worker.load();
  await worker.loadLanguage('eng');
  await worker.initialize('eng');
  const { data: {text} } = await worker.recognize(image);
  photoWords = text;
  console.log(photoWords = text)
  return compareStrings(string, photoWords);
})()

Status

We're looking forward to rolling-out the following features:

Connect the Flutter frontend.

Graph of percentage to most commonly bought ingredients

Save list to database

Contact

Music Meier 🎼