Inspiration

What it does

This web app aims to help people find the most affordable recipe they could make based on the food they own in their houses. By scanning, the barcode of the item or by manually typing the item, our algorithm finds the recipe that you could make from a database of +150 Wegmans recipes. If you are missing an item, the app will suggest the next best recipe that requires you to buy the least additional numbers of items.

How I built it

Challenges I ran into

Webscraping the wegmans recipe web page: it is impossible to access the recipes individually from the main page as it is not based on directories, but on javascrpt functions to display the webpage Scanning the bar code and searching it on the web in order to create a mapping. Getting all the data from the wegmans recipe web page and compare it to the scanned item. We had to convert the csv database to a json based on specific keyword

Accomplishments that I'm proud of

Mining data using webscrapping that was not straightforward Recognizing barcodes and mapping it to the database of codes (and our database in order to make the comparaison)

What I learned

Webscrapping You will always face a problem at the end How to incorporate multiple framework to assemble a single unified project

What's next for Hom-E-Con

Share this project:

Updates