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ZenReal


4.6 ( 2336 ratings )
健康健美 生活
开发 AppSpectrum Technology
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AI Food Search:

Allow users to simply type out food names. You can search multiple items in the same search.
Enables users to effortlessly search for various foods using plain English and natural language.
Utilizes advanced artificial intelligence for an intuitive and user-friendly food search experience.


Food Logging with Macros and Caloric Intake:

Facilitates the logging of consumed foods, providing users with a comprehensive overview of their daily dietary habits.
Automatically calculates and displays macronutrient (macros) and caloric intake for each logged item.
Offers a consolidated view of daily food consumption, aiding users in understanding their nutritional habits.

TDEE-Based Nutrition Recommendations:

Utilizes Total Daily Energy Expenditure (TDEE) to customize and recommend protein, calorie, and carbohydrate intake.
Takes into account individual preferences, ensuring personalized dietary suggestions.
Empowers users to make informed decisions about their nutritional needs based on their unique activity levels and goals.

Custom Goal Setting:

Allows users to set personalized goals for caloric and macro intake, catering to individual health and fitness objectives.
Provides flexibility for users to adjust their goals as their fitness journey progresses.
Encourages users to stay motivated by aligning their nutrition targets with their aspirations.

Insights through Daily Tracking:

Supports the long-term tracking of daily food consumption and nutritional data.
Enables users to accumulate insights over time, fostering a deeper understanding of their dietary patterns.
Encourages consistency and accountability in maintaining a healthy lifestyle.

Visual Analytics with Graphs:

Presents users with clear and visually appealing graphs illustrating their progress in terms of macros, caloric intake, and other relevant metrics.
Enhances user engagement by providing a visual representation of their achievements and areas for improvement.
Promotes data-driven decision-making by offering a snapshot of trends and patterns in dietary behavior.