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Digital Publisher
Digital Commons at St. Mary's University
Publication Date
Spring 2026
Keywords
Grocery shopping, Python, SQLite, Food prices
Description
In current times, people can find themselves at the whims of markets and may be spending more than they realize or want to on regular, everyday goods. New tools can help users keep track of the goods they are paying for. Harvest Scanner was developed to scan and track local grocery prices from stores using their publicly available website information. It was developed in Python using PyQt5 for GUI. The database is stored as an SQL file with Python using SQLite engine. Users will be able to view local grocery prices in a database interface (GUI). There are many features within Harvest Scanner to analyze and extrapolate prices of everyday foods we consume. The analysis can give more insight into making purchasing decisions.
Format
Size
1 poster
City
San Antonio, Texas
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Databases and Information Systems Commons, Data Science Commons, Graphics and Human Computer Interfaces Commons, Software Engineering Commons