Identify if food is low-carb
using AI
Below is a free classifier to identify if food is low-carb. Just upload your image, and our AI will predict if the food is low-carb - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("if-food-is-low-carb", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/if-food-is-low-carb/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_image_url"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_image_url"}' \
https://www.nyckel.com/v1/functions/if-food-is-low-carb/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict if the food is low-carb.
This pretrained image model uses a Nyckel-created dataset and has 2 labels, including High Carb and Low Carb.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if the food is low-carb).
Whether you're just curious or building if food is low-carb detection into your application, we hope our classifier proves helpful.
Need to identify if food is low-carb at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Dietary App Integration: This function can be integrated into health and fitness applications to help users easily identify low-carb foods. By using image classification, the app can scan food items and give instant feedback on their carbohydrate content, helping users stay on track with their dietary goals.
- Grocery Store Assistance: Grocery stores can deploy this technology to help customers quickly find low-carb options. Shoppers can take photos of food items in-store, and the system will highlight which products are low in carbs, facilitating healthier choices.
- Meal Planning Services: Meal planning platforms can use this function to suggest low-carb recipes based on user preferences. Users can upload pictures of ingredients, and the service can confirm which items are low-carb and suitable for their meal plans, making culinary decisions easier.
- Restaurant Menu Optimization: Restaurants can employ this classification tool to highlight low-carb menu items. By tagging dishes based on their carbohydrate content, restaurants can appeal to health-conscious customers and streamline menu choices for those following specific diets.
- Personal Nutrition Coaching: Nutritionists and dietitians can utilize this function during consultations to educate clients about low-carb food options. By analyzing food images, they can provide personalized advice and recommendations that align with the client’s dietary needs and goals.
- E-commerce Enhancements: Online grocery and meal delivery services can implement this image classification to allow users to snap pictures of new or unfamiliar foods. The system can then classify and provide information on the food’s carbohydrate content, enhancing the shopping experience and reducing uncertainty.
- Fitness Tracking Platforms: Fitness tracking devices and apps can incorporate this feature to help users monitor their dietary intake more effectively. Users can take pictures of their meals, and the app will classify whether the food is low-carb, allowing for more precise tracking of nutrition against their fitness progress.