Identify in-flight meal type
using AI
Below is a free classifier to identify in-flight meal type. Just upload your image, and our AI will predict what type of in-flight meal it is - in just seconds.
Contact us for API access
Or, use Nyckel to build highly-accurate custom classifiers in just minutes. No PhD required.
Get started
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("in-flight-meal-type", "your_image_url", credentials)
fetch('https://www.nyckel.com/v1/functions/in-flight-meal-type/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/in-flight-meal-type/invoke
How this classifier works
To start, upload your image. Our AI tool will then predict what type of in-flight meal it is.
This pretrained image model uses a Nyckel-created dataset and has 20 labels, including Dairy-Free, Dessert, Family-Style, Gluten-Free, Gourmet, Halal, High-Protein, Kosher, Local-Sourced and Low-Calorie.
We'll also show a confidence score (the higher the number, the more confident the AI model is around what type of in-flight meal it is).
Whether you're just curious or building in-flight meal type detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify in-flight meal type at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- Flight Catering Optimization: Airlines can leverage the in-flight meal type identifier to analyze dietary preferences and meal consumption patterns of passengers. This data can enhance menu planning, reduce food waste, and ensure popular meal options are available on specific routes.
- Personalized Passenger Experience: By identifying meal types consumed by individual passengers, airlines can tailor recommendations and services for future flights. This personalization could enhance customer satisfaction and increase loyalty by providing a more curated travel experience.
- Dietary Compliance Tracking: Airlines can use the classification function to ensure compliance with dietary requirements for special meals (such as vegetarian, vegan, gluten-free, etc.). This can help in maintaining customer safety and ensuring that dietary needs are adequately met.
- Marketing Insights: By analyzing the data collected from meal types served, airlines can derive insights into passenger preferences and demographics. This information can inform targeted marketing campaigns and promotional offers tailored to specific consumer segments.
- Quality Control Monitoring: The identifier can assist quality control teams in monitoring the standard of in-flight meals by tracking the types of meals served and their acceptability rates. Analyzing feedback on meal types can lead to improved food quality and service standards.
- Cost Management: Airlines can utilize this function to assess the cost-effectiveness of different meal types and identify trends in passenger choices. This understanding can help streamline purchasing decisions and manage costs related to in-flight catering.
- Sustainability Initiatives: The meal type identifier can be integrated into sustainability programs that track and analyze the carbon footprint of in-flight meals. This can aid in developing more sustainable sourcing and meal options, contributing to the airline's environmental goals.