AI Food Engine
Open siteHealth & Wellness
Introduction
Identifies food ingredients from uploaded photos.
AI Food Engine Product Information
What’s on your plate? is an AI-assisted food analysis tool that lets you discover the ingredients and nutritional details of a plate of food by simply uploading a photo. The model analyzes uploaded images to identify main ingredients, provide nutritional information, and suggest alternative recipes. It also encourages user engagement by inviting you to share your discoveries and help improve the model during training.
How to Use What’s on your plate?
- Take or choose a photo of your plate. Use your mobile device to capture a clear image.
- Upload the image. Drop it into the app or click to upload. The tool will process the image using its generative AI training model.
- Review the results. See the main ingredients, nutritional details, and suggested alternative recipes.
Tip: The model is currently in training, so uploading helps improve accuracy while you receive useful nutrient insights.
What You’ll Learn
- Main ingredients on your plate
- Nutritional information (calories, macros, etc.)
- Suggested alternative recipes
- Insights into how your meal supports your energy and mood
Safety, Privacy, and Data Usage
- Uploads contribute to training the AI model to improve accuracy.
- Personal data collection is limited to theFood image and associated nutritional insights provided by the model.
- No explicit privacy policy details are provided in the prompt, so users should be mindful of sharing sensitive information.
Why Use This Tool
- Quick, image-driven nutrition insight
- Learn about ingredients you’re eating and how they fuel you
- Get recipe ideas to mix things up or make healthier alternatives
- Contribute to model training to help improve future results
How It Works
- Users upload a photo of a plate.
- The AI analyzes the image to detect ingredients and estimate nutritional information.
- The tool returns ingredient lists, nutrition data, and alternative recipe suggestions, aiming to support personalized dietary awareness.
Core Features
- Image-based analysis of plate contents
- Identification of main ingredients
- Nutritional information and insights
- Suggested alternative recipes
- Feedback and training data contribution to improve model accuracy
- Easy upload flow via mobile or desktop