Authors : Katikala Johannas Meela; Kasula Hari Chandana; Dr. R. K. Selvakumar

Volume/Issue : Volume 8 - 2023, Issue 8 - August

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://tinyurl.com/3ukt69vw

DOI : https://doi.org/10.5281/zenodo.8340864

Abstract : Data Science has emerged as a potent tool in a wide range of industries, including the culinary arts. This paper examines the role of data science in the culinary arts and how it is transforming how we approach food. Data Science is revolutionizing the food industry by empowering chefs, restaurants, and food enthusiasts to make data-driven decisions, inspire creativity, increase efficiency in operation, and design distinctive dining experiences. These capabilities are made possible by leveraging data analytics, machine learning, and pattern recognition. The main uses of data science in the culinary arts are outlined in this paper, including menu optimization, ingredient analysis, recipe suggestion systems, food safety monitoring, and consumer behavior analysis. We address potential advantages, difficulties, and directions of integrating data science into culinary practices, stressing the chances for innovation and development in this always changing industry. All of these observations are made through the use of genetic algorithm.

Keywords : Culinary Arts, Recipes, Ingredients, Flavour, Optimization, Chefs, Machine Laerning ,Genetic Algorithm.