AI Nutrition Recipe: A Daily Nutrition-Compliant Meal Plan
What is AI Nutrition Recipe?
AI Nutrition Recipe is an AI-powered system that generates daily meal plans based on the user's personal information and health data, ensuring that all nutrients meet the Recommended Dietary Allowances (RDAs). Currently, the app is available only on Android.
Core Advantages
Personalized Customization
Generate personalized meal plans based on the user's age, weight, height, and gender, ensuring balanced nutrition.
Example: A 30-year-old male user receives a daily meal plan tailored to his age and activity level.
Data Privacy and Security
All data is stored on the user's device, not uploaded to the cloud, ensuring user data privacy and security.
Example: User input data (such as weight, height) is stored locally on the device only.
Scientific Accuracy
Based on scientific nutrition standards (RDAs) and the USDA Nutrient Database, providing precise dietary recommendations.
Example: Each meal plan strictly follows the RDAs, ensuring balanced nutrition in every meal.
Convenience
Users simply input relevant information on their phones, and the system helps generate daily meal plans. Full automatic generation is still in progress and cannot be done right now.
Example: With simple inputs and clicks, users can get AI-assisted daily nutrition plans.
Multi-Language Support
Currently supports 26 languages, covering 90% of the global population, achieving true globalization.
Example: Users can operate the application in their native language without language barriers.
Diabetes Management
Specifically designed for diabetes patients, the system generates personalized meal plans to help control blood sugar levels. The automatic generation of diabetes-specific recipes based on individual information is still being developed.
Example: Diabetes patients can receive low-GI meal plans to aid in blood sugar management.
How the AI Nutrition Recipe Works
Data Input
Users enter detailed information on their phones, including age, weight, height, and gender.
Example: A 30-year-old, 70 kg, 175 cm male user inputs his data, and the system automatically generates a suitable meal plan for him.
Setting Nutrition Goals
Based on the Recommended Dietary Allowances (RDAs), the system sets specific nutrition goals for the user.
Example: The system calculates the daily nutritional requirements based on the user's input data.
Generating Meal Plans
Users can manually generate meal plans with AI assistance or copy recipes from a standard library of nutrition-compliant meals. Users can then modify these plans to suit their preferences.
Example: Users can choose the system-recommended meal plan or customize their own meal combinations.
Comprehensive Nutrition Compliance in Daily Meal Plans
The greatest advantage of AI Nutrition Recipe is that the daily meal plans generated by the system ensure all nutrients meet the Recommended Dietary Allowances (RDAs). Whether macronutrients (such as protein, fat, carbohydrates) or micronutrients (such as vitamins, minerals), the AI Nutrition Recipe scientifically and precisely allocates foods according to the user's specific situation, ensuring that each meal meets the body's nutritional needs.
Example of a Daily Nutrition-Compliant Meal Plan
Breakfast
- Black beans: 50.80 g
- Sunflower seeds: 19.29 g
- Cinnamon powder: 6.24 g
- Clove powder: 9.33 g
- Olive oil: 5.04 g
- Salt: 0.98 g
Black Bean Salad:
- Cook black beans and mix with sunflower seeds.
- Add olive oil, a pinch of salt, and black pepper for seasoning.
- Sprinkle with cinnamon powder and clove powder.
Morning Snack
- Apricots: 100.00 g
- Blackberries: 100.00 g
- Blueberries: 100.00 g
Fruit Yogurt Bowl:
- Mix apricots, blackberries, and blueberries.
- Optionally add a drizzle of honey for sweetness.
Lunch
- Clove powder: 4.52 g
- Kelp: 7.89 g
- Parsley: 26.78 g
- Swiss chard: 18.29 g
- Wakame: 7.00 g
- Celery: 1.84 g
- Zinc konjac noodles: 250.00 g
- Chicken gizzards: 91.87 g
- Brown mushrooms: 51.22 g
- Olive oil: 10.01 g
- White pepper powder: 1.02 g
- Chicken hearts: 40.39 g
- Chickpeas: 75.24 g
- Salt: 1.00 g
- Garlic: 10.22 g
Roasted Chicken Hearts and Gizzards:
- Marinate chicken hearts and gizzards with olive oil, salt, black pepper, garlic powder, and clove powder, then roast until golden brown.
Chickpea Salad:
- Mix cooked chickpeas with parsley, Swiss chard, and celery.
- Add olive oil, salt, and black pepper for seasoning.
Kelp and Wakame Soup:
- Simmer kelp and wakame with vegetables (such as carrots, onions), add a pinch of salt and lemon juice for seasoning.
Stir-Fried Konjac Noodles:
- Stir-fry zinc konjac noodles with brown mushrooms, onions, and carrots, add olive oil and a pinch of salt for seasoning.
Afternoon Snack
- Cherries: 121.44 g
- Pomegranate: 87.00 g
Cherry and Pomegranate Salad:
- Mix cherries and pomegranate seeds, add a splash of lemon juice for seasoning.
Dinner
- Beet greens: 113.39 g
- White radish: 43.45 g
- Kelp: 6.30 g
- Swiss chard: 133.03 g
- Winter melon: 40.87 g
- Okra: 25.54 g
- Zinc konjac noodles: 250.00 g
- Clove powder: 7.96 g
- Brown mushrooms: 73.81 g
- Olive oil: 10.56 g
- Black pepper powder: 1.03 g
- Salt: 1.00 g
Stir-Fried Okra:
- Slice okra and stir-fry with olive oil, add a pinch of salt and garlic powder.
Beet Greens and White Radish Salad:
- Mix beet greens and sliced white radish, add olive oil, a pinch of salt, and black pepper for seasoning.
Winter Melon and Kelp Soup:
- Simmer winter melon and kelp, add garlic powder and a pinch of salt for seasoning.
Stir-Fried Swiss Chard:
- Chop Swiss chard and stir-fry with olive oil, add a pinch of salt and black pepper for seasoning.
Stir-Fried Konjac Noodles:
- Stir-fry zinc konjac noodles with brown mushrooms, onions, and bell peppers, add olive oil and a pinch of salt for seasoning.
Conclusion
AI Nutrition Recipe not only meets the user's daily nutritional needs but also provides personalized dietary advice based on specific health conditions (such as diabetes), ensuring users receive scientific, precise, and convenient dietary guidance. With data privacy and multi-language support, it is a globally user-friendly application.
Nutritional Analysis of Meal Plan
The following table compares the recommended nutritional values versus the actual nutritional values for a meal plan:
| Nutrient |
Recommended Value |
Actual Value |
Status |
| Calories |
1490.7 |
1501.4 |
Over |
| Protein (g) |
54.3 |
72.6 |
Over |
| Total Fiber (g) |
30.0 |
76.8 |
Over |
| Total Fat (g) |
20.0 |
53.5 |
Over |
| Iron (mg) |
420.0 |
643.8 |
Over |
| Calcium (mg) |
1000.0 |
3415.0 |
Over |
| Copper (mg) |
0.9 |
3.2 |
Over |
| Magnesium (mg) |
400.0 |
1125.0 |
Over |
| Zinc (mg) |
8.0 |
34.9 |
Over |
| Potassium (mg) |
3400.0 |
5415.0 |
Over |
| Sodium (mg) |
55.0 |
68.4 |
Over |
| Phosphorus (mg) |
700.0 |
1192.0 |
Over |
| Vitamin A (RAE) |
900.0 |
1125.1 |
Over |
| Vitamin B12 (µg) |
4.0 |
4.1 |
Over |
| Sulfur (g) |
1.2 |
1.8 |
Over |
| Niacin (mg) |
16.0 |
19.6 |
Over |
| Pantothenic Acid (mg) |
5.0 |
7.3 |
Over |
| Vitamin B6 (mg) |
1.7 |
2.1 |
Over |
| Folate (µg) |
400.0 |
1000.6 |
Over |
| Vitamin C (mg) |
90.0 |
210.7 |
Over |
| Vitamin E (mg) |
15.0 |
22.0 |
Over |
| Vitamin K (µg) |
120.0 |
2325.1 |
Over |