AiCooking Master-Recipe Customization and Planning

Example

Based on the user's dietary preferences, allergies, and ingredients available at home, AiCooking Master suggests recipes that fit these criteria perfectly.

Scenario

A user with gluten intolerance and a fridge full of chicken, spinach, and cheese will receive a selection of gluten-free recipes that utilize these ingredients, like a gluten-free chicken spinach quiche.

Example

Interactive, AI-generated cooking guides that adjust in real-time to the user's pace and modifications during the cooking process.

Scenario

When a user is preparing a complex dish like beef wellington for the first time, the platform offers a detailed, step-by-step guide, providing tips on wrapping the pastry perfectly and adjusting cooking times based on the oven used.

Example

Tools to track ingredients in the user's pantry, suggest recipes based on what needs to be used up, and generate shopping lists for missing items.

Scenario

For a user with a pantry full of canned beans, tomatoes, and some fresh herbs, AiCooking Master suggests recipes like chili or shakshuka and generates a shopping list for any additional required ingredients.

Example

Customized tutorials and feedback based on the user's cooking history and skill level, aimed at improving their culinary abilities over time.

Scenario

A beginner cook receives tutorials on basic knife skills and sauce-making techniques after the system notices frequent selection of beginner-level recipes.