Browsing by Author "Llanos Flores, Joe Sebastian"

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    Aplicación de la inteligencia artificial en la creación y ejecución de recetas como experiencia gastronómica
    (Universidad de Cuenca, 2024-09-17) Llanos Flores, Joe Sebastian; Morocho Torres, Johnson Alexander; Abad Vicuña, Guido Esteban
    This research project aims to explore the application of artificial intelligence (AI) in the creation and execution of recipes as a gastronomic experience. The goal is to enhance the culinary experience by investigating how AI utilizes advanced algorithms and machine learning techniques, AI can refine all phases of the cooking process, from the developing innovative recipes to executing precise culinary techniques. AI is capable of analyzing large amounts of dat. In this case: ingredients, cooking techniques, and user preferences. These algorithms not only create new recipes but also adjust and refine existing ones to improve their flavor, presentation, and nutritional value. Implementing machine learning techniques AI systems can learn form results and improve recipes and adjust their methods to achieve increasingly accurate satisfactory results. In addition, this project explores how artificial intelligence can provide new opportunities for culinary creativity and gastronomic exploration. AI is a valuable and trust worthy method of freeing chefs from regular tasks and allowing them to focus on innovation, AI has the potential to transform cooking into an even more creative and personalized experience. This approach not only improves efficiency and precision in professional kitchens but also offers significant benefits for home cooking enthusiasts, providing access to personalized recipes and culinary advice based on their individual preferences. In summary, this study demonstrates how artificial intelligence can revolutionize the way we conceive, prepare, and enjoy food, opening up new possibilities in the gastronomic field and enhancing the culinary experience in a comprehensive way.