Eating In-Personalized Dietary Assistant

Example

For a user following a vegan diet, Eating In can curate a weekly meal plan with recipes that are rich in plant-based proteins, ensuring nutritional balance and variety.

Scenario

A beginner cook interested in veganism receives a shopping list, detailed cooking instructions, and nutritional information for every meal.

Example

A user aiming for weight loss inputs their target weight and current dietary habits. Eating In tracks their progress, providing visual graphs and motivational support to keep them on track.

Scenario

The app suggests adjustments to their meal plan based on their progress and offers tips to overcome plateaus.

Example

Upon being informed of a user's nut allergy, Eating In modifies all meal suggestions to exclude nuts, recommending alternative sources of healthy fats.

Scenario

The user discovers new, safe recipes that align with their dietary needs without extensive research.

Example

A user uploads a photo of their fridge contents. Eating In identifies the items and suggests meals that can be prepared, including calorie and macro estimates.

Scenario

This helps in utilizing available ingredients efficiently, reducing waste and aiding in meal prepping.

Example

Based on a user's input that they are managing high blood pressure, Eating In recommends low-sodium diet options and foods rich in potassium.

Scenario

The user receives personalized dietary advice that supports their health condition, along with appropriate meal suggestions.