Smart Grocery Housekeeping

Contributors

Erik Lynch, Jillian Vondy, Rachel Covington, Kevin Klein

Overview

Capstone Project - Summer 2024 - Oregon State University

This web application provides the following:

• User generated grocery records
  • Image recognition to automatically identify fruits and vegtables
  • Barcode scanning for packaged items
  • Manual input and verification of information
  • Food spoilage estimates based on USDA data
• A dashboard of all grocery items
  • Identifies items spoiling soon
  • Identifies items recently purchased
  • Displays all items
• The ability for the user to perform "housekeeping" on the grocery data
  • Mark an item as spoiled
  • Mark an item as finished
  • Update the quantity of an item remaining
• Reports about the grocery item data
  • Frequently used items
  • Frequently unused items
  • Frequently spoiled items
• Recipes based on groceries
  • Recipes using items spoiling soon
  • Recipes with minimal additional ingredients
  • A "cookbook" where users can input their own recipes

Implementation Details

• Figma - initial UI design
• React - UI
• react-multi-carousel - item and recipe carousels
• Google Cloud Vision - fruit and produce recognition
• Spoonacular API - recipe suggestions
• Scandit - barcode scanning
• FSIS - FoodKeeper Data - spoilage guidelines
• AWS PostgreSQL - Database

Database - ER Diagram

Example Pages

The user dashboard page that displays carousels of items recently purchased, spoiling soon, and all items.

 

The edit item page that allows users to perform "housekeeping" on grocery items.