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Add an iOS Demo with Signin With Apple (#37)
* initial commit of ios demo * rename ios project and update its dependencies * add public API to provide image as Data * simplify parameter management with STSWebIdentityAWSCredentialIdentityResolver * do not delete the token file as the identity provider needs it at API call time * update iOS code to use the BEdrockService instead of the AWS SDK * license header * ignore license in entitlement file
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‎.licenseignore‎

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**/frontend/*
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**/*.code-snippets
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.DS_Store
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.licenseignore
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.licenseignore
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**/*.entitlements

‎Examples/ios-math-solver/.gitignore‎

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.DS_Store
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/.build
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/Packages
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xcuserdata/
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DerivedData/
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.swiftpm/configuration/registries.json
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.swiftpm/xcode/package.xcworkspace/contents.xcworkspacedata
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.netrc

‎Examples/ios-math-solver/README.md‎

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# Math Problem Solver
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An iOS application that uses AWS Bedrock and Claude to solve math and physics problems from images.
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## Features
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- Take a photo or select an image from your photo library
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- Analyze math and physics problems using Claude AI
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- Get step-by-step solutions with explanations
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- Secure authentication using Sign in with Apple (SIWA) and AWS STS
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## Screenshot
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![Math Problem Solver App Screenshot](screenshot.png)
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## Technology Stack
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- Swift bedrock Library for AI image analysis and problem solving
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- Swift and SwiftUI for the iOS app
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- Claude 3 Sonnet model for high-quality responses
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- Sign in with Apple (SIWA) for authentication
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- Streaming responses for real-time feedback
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## How It Works
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1. The app captures or selects an image containing a math or physics problem
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2. The image is processed and sent to AWS Bedrock
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3. Claude analyzes the problem and generates a step-by-step solution
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4. The solution is streamed back to the app in real-time
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5. The app displays the formatted solution with mathematical notation
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## Requirements
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- iOS 16.0+
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- Xcode 15.0+
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- AWS account with Bedrock configured
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- Sign in with Apple enabled in your Apple Developer account
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## License
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This project is licensed under the Apache License 2.0 - see the LICENSE file for details.

‎Examples/ios-math-solver/Sources/Assets.xcassets/AccentColor.colorset/Contents.json‎

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{
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"colors" : [
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{
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"idiom" : "universal"
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}
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],
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"info" : {
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"author" : "xcode",
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"version" : 1
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}
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}

‎Examples/ios-math-solver/Sources/Assets.xcassets/AppIcon.appiconset/Contents.json‎

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{
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"images" : [
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{
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"idiom" : "universal",
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"platform" : "ios",
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"size" : "1024x1024"
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},
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{
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"appearances" : [
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{
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"appearance" : "luminosity",
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"value" : "dark"
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}
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],
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"idiom" : "universal",
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"platform" : "ios",
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"size" : "1024x1024"
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},
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{
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"appearances" : [
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{
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"appearance" : "luminosity",
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"value" : "tinted"
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}
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],
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"idiom" : "universal",
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"platform" : "ios",
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"size" : "1024x1024"
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}
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],
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"info" : {
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"author" : "xcode",
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"version" : 1
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}
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}

‎Examples/ios-math-solver/Sources/Assets.xcassets/Contents.json‎

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{
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"info" : {
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"author" : "xcode",
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"version" : 1
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}
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}

‎Examples/ios-math-solver/Sources/AuthenticationManager.swift‎

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//===----------------------------------------------------------------------===//
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//
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// This source file is part of the Swift Bedrock Library open source project
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//
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// Copyright (c) 2025 Amazon.com, Inc. or its affiliates
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// and the Swift Bedrock Library project authors
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// Licensed under Apache License v2.0
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//
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// See LICENSE.txt for license information
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// See CONTRIBUTORS.txt for the list of Swift Bedrock Library project authors
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//
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// SPDX-License-Identifier: Apache-2.0
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//
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//===----------------------------------------------------------------------===//
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import AuthenticationServices
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import Foundation
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import SwiftUI
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class AuthenticationManager: ObservableObject {
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@Published var isAuthenticated = false // FIXME: check if the token is still valid
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@Published var userId: String? = nil
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@Published var error: String? = nil
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var jwtToken: String? = nil
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// Trigger for credential changes
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@Published var credentialsUpdated = false
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func signOut() {
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isAuthenticated = false
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userId = nil
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}
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func authenticate(with userIdentifier: String, identityToken: Data) {
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userId = userIdentifier
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// Convert identity token to string
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guard let tokenString = String(data: identityToken, encoding: .utf8) else {
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handleAuthError(
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NSError(
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domain: "AuthenticationError",
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code: 1001,
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userInfo: [NSLocalizedDescriptionKey: "Failed to convert identity token to string"]
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)
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)
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return
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}
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self.jwtToken = tokenString
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// Get AWS credentials using the Apple identity token
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Task {
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// Update UI on main thread
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await MainActor.run {
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self.isAuthenticated = true
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self.error = nil
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}
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}
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}
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func handleAuthError(_ error: Error) {
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self.error = error.localizedDescription
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isAuthenticated = false
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}
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}

‎Examples/ios-math-solver/Sources/Content.swift‎

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//===----------------------------------------------------------------------===//
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//
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// This source file is part of the Swift Bedrock Library open source project
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//
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// Copyright (c) 2025 Amazon.com, Inc. or its affiliates
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// and the Swift Bedrock Library project authors
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// Licensed under Apache License v2.0
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//
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// See LICENSE.txt for license information
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// See CONTRIBUTORS.txt for the list of Swift Bedrock Library project authors
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//
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// SPDX-License-Identifier: Apache-2.0
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//
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//===----------------------------------------------------------------------===//
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let content = """
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### Solution
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#### Concepts Involved
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This problem involves the Doppler effect, which describes the change in frequency of a wave in relation to an observer who is moving relative to the wave source. In this case, the source is a rotating sound emitter, and the observer is a microphone.
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#### Given Data
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- Frequency of the sound source, \\( f_0 = 1500 \\, \\text{Hz} \\)
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- Radius of the circular path, \\( r = 40.0 \\, \\text{cm} = 0.4 \\, \\text{m} \\)
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- The sound source is rotating in an anti-clockwise direction.
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#### Steps to Solve the Problem
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1. **Determine the angular velocity (\\( \\omega \\)) of the source:**
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Since the source is rotating, we need to find its angular velocity. However, the problem does not provide the rotational speed directly. We will assume the tangential velocity \\( v \\) at the point of the source is given by \\( v = r \\omega \\).
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2. **Calculate the Doppler shift for each position (a, b, c):**
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The Doppler effect formula for sound is given by:
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\\(f = f_0 \\left( \\frac{v + v_o}{v + v_s} \\right)\\)
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where:
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- \\( f \\) is the observed frequency.
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- \\( f_0 \\) is the source frequency.
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- \\( v \\) is the speed of sound in the medium.
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- \\( v_o \\) is the observer's velocity relative to the medium.
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- \\( v_s \\) is the source's velocity relative to the medium.
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Since the observer (microphone) is stationary, \\( v_o = 0 \\).
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3. **Frequency at point a:**
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At point a, the source is moving towards the observer.
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\\[f_a = f_0 \\left( \\frac{v}{v - v_s} \\right)\\]
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where \\( v_s = r \\omega \\).
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4. **Frequency at point b:**
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At point b, the source is moving perpendicular to the line of sight of the observer.
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\\[f_b = f_0\\]
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There is no Doppler shift because the component of the velocity towards the observer is zero.
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5. **Frequency at point c:**
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At point c, the source is moving away from the observer.
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\\[f_c = f_0 \\left( \\frac{v}{v + v_s} \\right)\\]
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where \\( v_s = r \\omega \\).
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6. **Compare the frequencies:**
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From the Doppler effect formulas:
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- \\( f_a > f_0 \\) because the source is moving towards the observer.
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- \\( f_b = f_0 \\) because there is no relative motion towards or away from the observer.
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- \\( f_c < f_0 \\) because the source is moving away from the observer.
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Therefore, the relationship between the frequencies is:
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\\(f_a > f_b = f_c\\)
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### Conclusion
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The frequencies perceived by the microphone are such that \\( f_a > f_b = f_c \\).
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"""

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