This is a submission for the GitHub Finish-Up-A-Thon Challenge
What I Built
Food costs are on a rise, shopping at one store can only give you the deals for that store. Name brand vs. store brand is another way to save money. By shopping at multiple stores, we can leverage the cost of food in a new way. That’s what this online app does, gives you the cost of items at various stores so you can pick the lowest priced items as necessary. Shopping at multiple stores will save you $$ on every grocery run and the possibility to save hundreds of dollars a month.
It started as an Android app using the Parse database. Now I transformed the application to be web based with Firebase for authentication and data storage. This app isn’t only for myself saving money, but to spread awareness of understanding pricing for food differs for the area in which you live and inner cities have lots of options. Grabbing a box dinner of an item could be $1.99 at your favorite store, but the regular price could be just $0.99 down the street, a savings of $1.00 for a year would be $365.00.
Demo
The Comeback Story
This once was an Android App I started in school. The name was Our Pricebook, a price book app used to record prices among stores and find the best prices. There’s a definite need now to shop around and find the best prices around for many things. I will continue to use the app and make it better, but this is an awesome start. I renamed it to Our PriceCloud to be able to promote it on social networks such as Facebook. The previous page was rejected as it had the name ‘Book’ in the title.
My Experience with GitHub Copilot
AI Helped with the development of this site. First I used Perplexity to extract the design and layout of the app. A Bootstrap template was made off of the original app and a homepage and main page were created. First was the home page and authentication, once I had the firebase information, I would tell copilot how to work on each section, and the Javascript/HTML were created as expected. As the sections of the app were developed, with the html, the Javascript was worked in for the functionality, and tested over and over. Copilot was used over and over as each section was developed. Overall, less than 10% of the limit of the Copilot Pro Plan was used. All errors were plugged right into copilot to resolve any errors. I also used the Claude browser extension to work on the permissions right in Firebase.
