Cooking has always been a mix of creativity, experience, and intuition. In recent years, artificial intelligence has entered this space, and is helping with planning, preparing and understanding food. AI can analyze ingredients, optimize recipes, reduce waste, and even adapt meals to personal preferences and constraints (for example, if you dislike onions or have an allergy, the system can remember this preference and automatically substitute them with suitable alternatives).
AI is always working with data, and data can be anything. Literally anything. Recipes can be represented as structured information: ingredients, quantities, cooking times, temperatures, and techniques. When enough of this data is available, machine learning models can detect patterns that humans might miss. For example, AI systems can identify ingredient substitutions based on flavor similarity or nutritional value, adjust recipes according to dietary requirements (vegan, low-carb, allergies), scale recipes precisely without breaking texture or taste, suggest combinations that statistically work well together. And output is something you can actually taste.
if you are indecisive, you can take a photo of your fridge and an AI can identify the available ingredients, suggest what to cook for lunch, and generate a step-by-step recipe based on those items. A real Jamie Oliver hidden behind billions and billions of parameters within neural network.