diff --git a/Package.swift b/Package.swift
index 473a135..ad986a4 100644
--- a/Package.swift
+++ b/Package.swift
@@ -14,7 +14,7 @@ let package = Package(
     ],
     targets: [
         .binaryTarget(name: "PassioNutritionAISDK",
-                      url: "https://github.com/Passiolife/Passio-Nutrition-AI-iOS-SDK-Distribution/raw/3.2.2/PassioNutritionAISDK.xcframework.zip",
-                      checksum: "f59814bad86518cf0067932e5854c16e1fa0f994f44f9130afa6300a9998ac1b")
+                      url: "https://github.com/Passiolife/Passio-Nutrition-AI-iOS-SDK-Distribution/raw/3.2.3/PassioNutritionAISDK.xcframework.zip",
+                      checksum: "d0d428805f80f8badc443a11e5d8b0b585e49e0873eeeb4c64c98ca3d25c1f94")
     ]
 )
diff --git a/PassioNutritionAISDK.xcframework.zip b/PassioNutritionAISDK.xcframework.zip
index 319d372..7c981d0 100644
Binary files a/PassioNutritionAISDK.xcframework.zip and b/PassioNutritionAISDK.xcframework.zip differ
diff --git a/README.md b/README.md
index 8657702..77941b6 100644
--- a/README.md
+++ b/README.md
@@ -60,13 +60,13 @@ passioConfig.sdkDownloadsModels = false
 
 ## Try first to run the Quick Start Demo
 
-  A fast and easy way to get started with the SDK is to test it inside of PassioSDKQuickStart Demo App included in this package. Here are the steps:
+  A fast and easy way to get started with the SDK is to test it using the Quick start project. Here are the steps:
   
-  1. Open the project in Xcode:
-  2. Replace the SDK Key in the PassioQuickStartViewController.swift file with the key you obtained by signing up at https://www.passio.ai/nutrition-ai
-  3. Connect your iPhone and run
-  4. Modify the app bundle from "com.PassioDemoApp.demo" to "com.yourcompany...."
-  5. Run the demo app on your iPhone.
+  1. Download the Quick start project from this URL: https://github.com/Passiolife/Passio-iOS-QuickStart
+  2. Open the project in Xcode
+  3. Find `YOUR_PASSIO_KEY` inside `ImageSelectionVC.swift` and replace the SDK Key with the key you obtained by signing up at https://www.passio.ai/nutrition-ai
+  4. Modify the app bundle from "com.PassioDemoApp.demo" to "com.yourcompany...." 
+  5. Connect your iPhone and run the demo app on your iPhone
   6. For support, please contact support@passiolife.com
 
 ***
diff --git a/ReleaseNotes.md b/ReleaseNotes.md
index b6e2b31..3cd5619 100644
--- a/ReleaseNotes.md
+++ b/ReleaseNotes.md
@@ -1,5 +1,11 @@
 # Passio SDK Release Notes
 
+## V3.2.3
+### Updated APIs:
+
+- Renamed `semanticSearchForFood` to `searchForFoodSemantic`
+- Renamed `fetchNextPredictedIngredients` to `predictNextIngredients`
+
 ## V3.2.2
 ### New APIs:
 
diff --git a/SDK_API.md b/SDK_API.md
index 48dcb95..47caf0d 100644
--- a/SDK_API.md
+++ b/SDK_API.md
@@ -1,6 +1,6 @@
 # PassioNutritionAISDK 
 
-## Version 3.2.2
+## Version 3.2.3
 
 ```Swift
 import AVFoundation
@@ -2593,11 +2593,11 @@ public class PassioNutritionAI {
     ///   - completion: ``SearchResponse``, which containts list of alternate search and its results
     public func searchForFood(byText: String, completion: @escaping (PassioNutritionAISDK.SearchResponse?) -> Void)
 
-    /// Semantic search for food will return a list of alternate search and search result
+    /// Search for food semantic will return a list of alternate search and search result
     /// - Parameters:
     ///   - byText: User typed text
     ///   - completion: ``SearchResponse``, which containts list of alternate search and its results
-    public func semanticSearchForFood(searchTerm: String, completion: @escaping (PassioNutritionAISDK.SearchResponse?) -> Void)
+    public func searchForFoodSemantic(searchTerm: String, completion: @escaping (PassioNutritionAISDK.SearchResponse?) -> Void)
 
     /// Fetch ``PassioFoodItem`` for given ``PassioFoodDataInfo`` and servingQuantity and servingUnit.
     /// - Parameters:
@@ -2723,7 +2723,7 @@ public class PassioNutritionAI {
     /// - Parameters:
     ///   - ingredients: List of food ingredients name
     ///   - completion: ``PassioPredictedIngredients``, PassioPredictedIngredients responds with a success or error response. If the response is successful, you will receive an array of ``PassioAdvisorFoodInfo`` ingredients showing what might be contained in the given food.
-    public func fetchNextPredictedIngredients(ingredients: [String], completion: @escaping PassioNutritionAISDK.PassioPredictedIngredients)
+    public func predictNextIngredients(ingredients: [String], completion: @escaping PassioNutritionAISDK.PassioPredictedIngredients)
 
     /// Use this method for scanning nutrients from Packaged Product. This method returns ``PassioFoodItem``.
     /// - Parameters:
@@ -3999,7 +3999,7 @@ extension UIImageView {
 
     @MainActor public func loadImage(from url: URL, placeholder: UIImage? = nil)
 }
- 
+
 infix operator .+ : DefaultPrecedence
 
 infix operator ./ : DefaultPrecedence