Apps for Meal Monitoring and Nutrition Management: The Role of AI in Food Recognition
The Role of AI in Nutrition Recognition
The automation of food logging using apps leveraging artificial intelligence technology, like image processing and computer vision, is becoming a breeze. For monitoring physical activities such as calories burnt or diet restrictions, or even allergen monitoring, these apps streamline and simplify food logging. The recognition AI-powered apps go a step further and support tracking of nutrition, meal management, and diet administration.
How Exactly Do These Applications FunctionÂ
An app recognizing food must be underpinned by neural networks and deep learning. The effectiveness stems firstly from the dataset of food images they are trained on. Recognition of food items, splitting the portions and recognizing the patterns is done using algorithmic image processing and pattern recognition. Many apps use cloud based artificial intelligence for improved recognition, but there are some that utilize natural language processors, and those capture menu information for enhanced understanding.
Use cases and Major AttributesÂ
There is country specific regulatory tracking for elements used in both development and tracking, but these AI enabled apps seem to be setting records and vastly simplify user experience.
Dietary Management: Creation of individualized meal plans for the dietary observed (e.g. Vegan, Keto, or Diabetic)
Calorie Tracking: Capture image of the food and the application will estimate calories consumed.
Allergen Detection: Scope of potential allergens that may exist in food products.
Food waste reduction: Identifying ingredients
