Passio Nutrition-AI
  • Nutrition-AI SDK Overview
  • Guides
    • Nutrition AI SDK
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Nutrition Facts scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
        • User created foods and reports
    • iOS SDK Docs
      • Before getting started
      • Getting the ml models to the device
      • Run the demos first
      • Adding Passio SDK into your project
      • Initialize and configure the SDK
      • Start/Stop food detection
      • Food Recognition Delegate
      • Migration from SDK 1.4.X to 2.x
      • SDK API
      • Quick Start Guide
        • Installation
        • Configure the SDK (UIKit)
        • Recognise food using image
        • Food Details
    • Android SDK Docs
      • Getting started
        • Include the library
        • Camera
        • SDK Initialization and Configuration
        • Food detection session
        • Visual, Barcode and Packaged Food detection
        • Nutritional Database
        • Sandbox app
      • Troubleshooting on Android
      • Migration from SDK version 1.4.x to 2.x
      • Quick Start Guide
        • Importing the Android SDK to a project
        • Configure SDK and handle the result
        • RecognizeImageRemote
        • Food Details
    • React Native SDK Docs
      • Getting Started
        • Installation
        • SDK Initialization and Configuration
      • API Reference
        • configure & requestCameraAuthorization
        • recognizeImageRemote
        • searchForFood & searchForFoodSemantic
        • startFoodDetection
          • FoodDetectionEvent
        • fetchFoodItemForProductCode
        • fetchFoodItemForRefCode
        • fetchFoodItemForDataInfo
        • startNutritionFactsDetection
        • fetchFoodItemForPassioID
        • recognizeSpeechRemote
        • Fetch Nutrients
        • onDowloadingPassioModelCallBacks
        • detectFoodFromImageURI
        • addToPersonalization
        • updateLanguage
        • fetchHiddenIngredients
        • fetchVisualAlternatives
        • fetchPossibleIngredients
      • Properties
        • PassioFoodItem
        • PassioFoodDataInfo
        • PassioFoodAmount
        • PassioIngredient
        • PassioNutrients
        • UnitMass
        • ServingUnit
        • ServingSize
        • PassioSearchResult
        • NutritionFacts
        • PassioNutritionPreview
        • PassioSpeechRecognitionModel
        • PassioLogAction
        • PassioAdvisorFoodInfo
        • FoodCandidates
        • FoodDetectionEvent
        • NutritionDetectionEvent
        • DetectedCandidate
        • BarcodeCandidate
        • PackagedFoodCode
        • AmountEstimate
        • ImagesInfo
        • PassioStatus
        • FoodDetectionEvent
        • NutritionFacts
        • PassioMealPlan
        • PassioMealPlanItem
      • Nutriton Advisor
        • initConversation
        • sendMessage
        • sendImage
        • Guide
          • useNutritionAdvisor
        • Properties
          • PassioAdvisorResponse
          • PassioAdvisorMessageResultStatus
          • PassioAdvisorResultStatus
      • Quick Start Guide
        • Installation
        • Configure the SDK
        • RecognizeImageRemote
        • Food Detail
      • Guide
        • Integrate SDK Setup
        • Integrate Quick Scan
        • Integrate Food Search
        • Integrate Food Editor with Recipe
        • Integrate MealPlan
        • Integrate Suggestions
        • Integrate recognizeImageRemote
      • Components
        • DetectionCameraView
        • PassioIconView
      • Changelog
      • More
        • Display Macro Chart
          • MockFood
          • Utils PassioNutrient
        • Display Micro Progress
        • Getting nutrition value for a FoodItem
        • Getting nutrition value for a Recipe
        • Recalculate the nutrition value based on serving size options.
      • Migrations
        • Migrating from SDK 2.X to version 3.X
        • Structure Migrations From SDK 3.X to SDK 2.X
        • [Deprecated] Migrating from SDK 1.X to version 2.X
        • [Deprecated] Getting Started (v1)
          • Installation
          • SDK Initialization and Configuration
          • Start food detection
          • FoodDetectionEvent
          • Nutritional Database
      • Troubleshooting on RN
      • V2
        • Getting Started
          • Installation
          • SDK Initialization and Configuration
          • Start food detection
          • FoodDetectionEvent
        • RN SDK API
          • Properties
            • PersonalizedAlternative
            • FoodSearchResult
            • PassioNutrient
            • FoodDetectionEvent
            • DownloadModelCallBack
            • UPCProduct
            • ServingUnit
            • PassioStatus
            • PassioIDAttributes
            • PassioIDEntityType
            • PassioFoodItem
            • PassioRecipe
            • ServingSize
            • Measurement
            • UnitMass
            • NutritionFacts
        • Food Image
        • Search Food Item
        • Quick Scan
        • Multi Scan
        • MealPlan
        • Recipe
      • How do I Integrate a Passio SDK in EXPO?
    • Flutter SDK Docs
      • Getting Started
    • Before You Continue
    • Setup For Android
    • Initialize and configure the SDK
  • Fundamentals
    • Nutrition-AI Developer FAQ
      • Nutrition Data
      • Supported Phones
      • Security
      • Testing Volume Estimation
      • Testing Nutrition-AI SDK
      • Nutrition-AI Test Methodology
    • Nutrition API - Mobile SDK interoperability
      • JSON Response parsing
  • Versions
    • 3.2.4
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Nutrition Facts scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
        • User created foods and reports
    • 3.2.2
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Nutrition Facts scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
        • User created foods and reports
    • 3.2.0
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Nutrition Facts scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
    • 3.1.4
      • SDK Key and minimum requirements
      • Installation
      • Configure the SDK
      • Use Cases
        • Food recognition
        • Nutrition data
        • Barcode scanning
        • Search, Food Icons, RefCode
        • Speech recognition
        • Nutrition Advisor
        • Suggestions and Meal Plans
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  1. Guides
  2. Nutrition AI SDK
  3. Use Cases

User created foods and reports

PreviousSuggestions and Meal PlansNextiOS SDK Docs

Last updated 3 months ago

There could be cases when a certain food is not present in Passio's Nutritional Database. The standard practice in that case would be to guide the users through a creation of user created food items. These items are usually only accessible for that particular user, but there is an API that can be used to notify Passio of such items.

Using the fun submitUserCreatedFoodItem, the app can notify Passio of user created foods.

PassioFoodItems submitted using this API go into our verification queue, and after their data has been verified by our nutrition data experts, they become available in the Nutritional Database.

On the other hand, there could be food items that have incorrect or outdated data. For these cases, the SDK provides an API to report such items, so that our data team can update them in the Nutritional Database.

To report incorrect data in a PassioFoodItem, reportFoodItem can be used. The refCode of the food item must by supplied.

UI Example

  1. Add a button when displaying the food item to report incorrect data.

  2. Show a form where users can add their feedback as well as provide the product code (barcode) of the item.

  3. Upon clicking the "Report" button, invoke the reportFoodItem function.

Report an issue pop-up
Food item header with report issue button