What's For Dinner-Meal Suggestion AI

Example

Inputting ingredients like salmon, asparagus, and lemon might prompt a suggestion for a grilled salmon with a lemon butter sauce and steamed asparagus.

Scenario

A user is unsure what to cook for dinner and inputs the main ingredients they have on hand. The tool then provides several recipe options that utilize these ingredients effectively.

Example

A user who follows a vegan diet could receive recommendations for plant-based recipes like vegan chili or tofu stir-fry when searching with relevant ingredients.

Scenario

A user specifies their dietary preferences (e.g., vegan, gluten-free, keto) along with available ingredients, and receives meal suggestions that adhere strictly to these dietary needs.

Example

After suggesting a quinoa salad recipe in a previous session, the tool might ask if you enjoyed it and suggest a variation or a completely different quinoa-based dish if you’re looking to explore more options.

Scenario

The tool remembers past interactions and preferences, allowing it to suggest new recipes based on previous likes and dislikes, thus personalizing the user experience over time.

Example

When time is short, a user might request quick recipes, leading to suggestions like a 15-minute Caprese salad or a simple pesto pasta.

Scenario

Users can specify how much time they have available for cooking, and the tool will filter recipes to match the available time, ensuring meal prep fits within their schedule.