Abstract:
In this modern progressive world, everyone is suffering from some problem.
Many people miss the track of solving their problems and are stuck in a maze. Then they
get depressed or stressed over small things. Mostly, Students go through fluctuating moods
a lot. In that critical time, everyone wants something that can comfort them. People prefer
doing many things like eating, playing games, watching movies when they are not in a
pleasurable emotional state. The connection between food and emotions are very intense.
As these two things are interconnected, we explored the comfort foods of students in their
different states of mind. The earlier researches are based on surveys and psychological
questionnaires. In this paper, we proposed a machine learning model of Linear regression
and Support Vector Machine with the aid of data science to find out the comfort foods of
the students based on their emotional state. The dataset is collected from a publicly available
source. The data was collected through a survey at Mercyhurst University. There were 126
students who participated in the survey and over 60 questions were asked. In this study, we
tried to find out the comfort foods which students like to have in their different mental state.
We performed 2 models, in a Linear regression model, we found 5% accuracy and in SVM
we found 95% accuracy which is pretty good.