Unlock the Power of AI Nutrition with AI Calorie Tracker – Premium iOS App Source Code

Step into the growing health and wellness space with AI Calorie Tracker, a fully developed iOS app that helps users track calories and nutrition simply by snapping a photo.

Built with Swift and UIKit, powered by advanced AI image recognition and supported by a Node.js OpenAI backend, this ready-to-launch source code delivers everything you need to create a smart, engaging, and monetizable AI health app.

Key Features:

• AI Camera Food Scanner – Instantly analyze food photos and get detailed calorie, protein, fat, and carb breakdowns using AI.
• AI-Powered Nutrition Insights – Automatically calculate and visualize daily macro progress.
• Meal Plans & Diet Summaries – Provide users with smart dietary suggestions and daily summaries.
• In-App Subscription System – Monetize through premium plans using Apphud SDK with subscription management.
• Google Firebase Integration – Firebase powers analytics, paywall configuration, remote feature control, and user authentication.
• Node.js OpenAI Backend – Fast, scalable API built on Node.js to handle AI processing and nutrition analysis.
• Beautiful UI & Modern UX – Clean, user-friendly design with smooth animations and intuitive tracking flow.
• MVVM Architecture – Scalable, modular, and easy to customize or expand with new features.

Why Choose AI Calorie Tracker?

AI Calorie Tracker is a fully featured, production-ready app ideal for the booming health and fitness market. It offers:
• A complete app already live on the App Store
• Subscription-based monetization via Apphud SDK
• Seamless AI food recognition with camera and barcode support
• Real-time macro tracking with visual progress bars
• Firebase-powered backend for analytics, authentication, and paywall management
• Node.js API backend with OpenAI integration for fast AI processing
• Easy rebranding, localization, and feature expansion

Built for Growth and Monetization

AI Calorie Tracker is not just source code — it’s a revenue-ready business in the high-demand AI health space.

Save months of development time and launch your own AI-powered calorie tracker today.

Let’s connect to discuss the next steps!

• Native iOS Development: Built with Swift and UIKit for a fast, smooth, and responsive user experience on all iOS devices.
• MVVM Architecture: Clean, modular, and scalable codebase for easy customization, maintenance, and future updates.
• AI Food Analysis with Camera: Instantly analyze meals by snapping a photo and receiving detailed nutrition breakdowns including calories, protein, fat, and carbs.
• Vision API + OpenAI Integration: Leverages OpenAI's GPT-4o and Vision capabilities to recognize food types and return accurate nutrition data.
• Smart Nutrition Summaries: Automatically generate simplified summaries of meal quality and health value from AI-analyzed results.
• Meal History Tracking: Stores and displays previous meals, allowing users to monitor their eating habits over time.
• Firebase Integration: Uses Firebase for user authentication, image storage, and syncing of nutrition logs across sessions.
• Subscription Management: Fully integrated with Apphud SDK for handling in-app purchases, premium access, and remote paywall control.
• Multi-Paywall Support: Easily configure multiple paywall screens and free trial offerings with Apphud placement mapping.
• Customizable UI: Centralized asset and color system for quick rebranding or theming to suit health, fitness, or food-related apps.
• Optimized AI Performance: Fast image processing and low-latency nutrition analysis for a seamless user experience.
• Secure and Compliant: Follows Apple’s privacy guidelines with secure backend handling of user data and analytics.
• App Store Ready: Fully compatible with the latest iOS SDKs and optimized for quick deployment and review approval.

• Xcode 14.0 or later: Required for iOS development and building the project.
• iOS 15.0 SDK or later: The project targets iOS 15.0 and above.
• Swift 5.5 or later: The codebase is written in Swift and requires a compatible version.
• CocoaPods or Swift Package Manager (SPM): To manage dependencies like Firebase and AppHud SDK.
• Firebase Account: For Firebase Analytics and Authentication integration. You’ll need to set up a Firebase project and download the GoogleService-Info.plist file.
• AppHud Account: Required for handling in-app subscriptions and purchases. You'll need to configure AppHud in your app with the necessary API keys.
• macOS 12.0 or later: Required for running the latest version of Xcode and building the project.

• Change the Bundle Identifier: Update the bundle ID in the project’s settings to match your app's unique identifier.
• Important: Re-skin the app completely before submitting to the App Store. Usage of the original UI assets is strictly prohibited for submission.
• Set Up Firebase: Add your GoogleService-Info.plist file to the project for Firebase Analytics and Authentication.
• Configure AppHud: Integrate your AppHud API key for handling in-app subscriptions.
• Swift Package Manager (SPM): Ensure dependencies are resolved through SPM for Firebase and AppHud.
• Read the Documentation: Review the documentation for detailed steps on customization, configuration, and deployment.
• Final Steps: Once the app is customized and configured, you’re ready for testing and deployment!