| Summary: | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2019. Cataloged from PDF version of thesis. Includes bibliographical references (page 31). Food business has expanded drastically over the years. It’s safe to say that you never have to make a loss for a restaurant business today onwards. People have become food lovers and they are always in search of new dishes and different tastes. From business meetings to engagement proposals to school assignments- all are happening over a cup of coffee or during lunch or dinner. So, it’s worth a try to understand this food culture globally. Because food represents the culture. Taste and method represent the history of a country. Price-variation tells us about the overall economy. Watching these scenarios nowadays, we got encouraged to study on people around the world to find out where they are on the same page in terms of food consumption. Which types of cuisines got popular worldwide and what are the reasons. Are the prices and environments similar to the same type of cuisines everywhere? We have adequate data of great variation to analyze these factors. We will take the help of statistic formulas and several machine learning techniques to accomplish our project. Md Sami Ul Islam Md. Shariful Huq Abib B. Computer Science and Engineering
|
|---|