Inspiration

idea: to generate a metric to analyze and produce results for a consumer's grocery list and provide suggestions to improve

their "sustainability" score

general pipeline of how we made it

step 1: generate file that contains a brands and keywords about sustainability to use a a metric for generating a score

step 2: create a file that takes in a file input of a grocery list and extracts the column of products and converts it into

an indexable list

step 3: main function that uses conditionals and compares with the dictionary to generate a score for the product and then sums

to get a final sustainability score

if brand is not in database- create an error message that indicates that

step 4: create a list of suggestions to improve the sustainability based on the score and specific brands

step 5: create some interface using HTML

2024 Hack the Heights Hackathon Project (Sara Rigatti, Audrey Xiao, Elizabeth Garson)

We generated and created a metric to analyze and produce results for a consumer's grocery list and provide suggestions to improve their "sustainability" score. This score is generated by comparing a dictionary of brand names to those listed in a grocery list. Each brand name has a corresponding sustainability score which is determined out of ten, (ten meaning the best for sustainability and one meaning the worst.) In addition to giving a score, the program gives suggestions to specific brand names that have the lowest sustainability code.

The file Hack_the_Heights.ipynb contains all the functions in the program.

There are two txt files: 1. brands.txt and 2. groceries.txt

groceries.txt contains an example grocery list that the user uploads which lists the brands separated by the price of the item. brands.txt contains the entire list of brands which have sustainability scores which we use to check against the brands of the grocery lists. There is also a folder that includes information and requirements to set up flask and a web interface for the program. The flask code requires you to run main.py on terminal via python main.py in your project directory and use the link: http://127.0.0.1:8080/ to run the program.

Built With

• flask
• python
• terminal