Introduction

In $2023,$ an estimation of more than $347$ billion emails were sent and received

per day worldwide$1$

$.$ While one email can have a small Carbon Footprint, the

collective impact of billions of them has a much larger impact. According to

Carbon Literacy Project$2$

$,$ calculating the carbon footprint generated by an

email relies on many factors such as:

$$ the nature of the device used to write$/$receive email $($i$.$e$.$ phone, tablet,

etc.$),$

$$ the size of the email and if there is any attached document or image,

$$ the number of recipients,

$$ the efficiency of the data centres which the email passes through,

$$ etc.

The carbon footprint of a single email can be as small as $0\mathrm{.}03$g and as large

as $26$g $3$

$.$ In this project, we want to create a program that will ask the user

about the nature of the email sent and received and the program will display

its corresponding CO$2$e emissions. The program should ask the user whether:

$$ the email is a spam or not,

$$ whether it is a short or a long email $($use one integer or boolean variable

for that$),$

$$ whether it is sent and received on a phone or laptop $($use one integer or

boolean variable for that$)$

$$ whether it is a long email sent to one or many people $($use one integer or

boolean variable for that$)$

Depending on these answers, the program will display the corresponding CO$2$e

emissions in grams using the table below.