A Comparative Analysis of Food Habit and Nutrition on Food in Bangladesh Using Machine Learning

Abstract

Day by day, our lifestyle has changed. From them, food habit is one of them. Our research mainly focuses on the eating/food habits of the people in our country and finding Nutrition in their eating habits. For a healthy and beautiful nation, our food habits must be correct. Just as good eating habits keep our bodies healthy and beautiful, bad eating habits make us sick. So, after collecting a dataset of food habits we find, we can learn about the food tastes of the people of our country research. We collect 1200 data from different ages of people about their daily food habits. We divided our data into Breakfast, Lunch, Snacks, Street food, Dinner & sweets. We will try our best to provide the best knowledge About Nutrition on food habits because it is impossible to develop Bangladesh without a healthy nation. We divided our research into two steps. (i) Finding food habits; and (ii) synthesizing information and finding Nutrition on them. An annotated reference list is included for ease in finding another helpful guideline. We use seven algorithms. We are using different types of algorithms, Decision Tree, KNN ADA boosting classifier, Logistic Regression, Bagging Classifier, Gaussian Naive Bayes, Extra Trees Classifier.