

AI Plant Identifier - iOS App Source CodeAI Plant Identifier - iOS App Source Code
Unlock the Power of AI Botany with AI Plant Identifier
AI Plant Identifier - iOS App Source Code
Unlock the Power of AI Botany with AI Plant Identifier
Overview
Unlock the Power of AI Botany with AI Plant Identifier – Premium iOS App Source Code
Step into the fast-growing green tech and sustainability space with AI Plant Identifier, a fully developed iOS app that helps users instantly recognize plants, flowers, and trees 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, educational, and monetizable AI plant identification app.
Key Features:
• AI Camera Plant Scanner – Instantly analyze plant photos and get accurate identifications with scientific names and details.
• Plant Care Insights – Provide users with information about watering, sunlight, and care requirements.
• Plant Encyclopedia – Offer a growing knowledge base where users can explore species and their characteristics.
• 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 recognition and plant data processing.
• Beautiful UI & Modern UX – Clean, user-friendly design with smooth animations and intuitive flow.
• MVVM Architecture – Scalable, modular, and easy to customize or expand with new features.
Why Choose AI Plant Identifier?
AI Plant Identifier is a fully featured, production-ready app ideal for the booming gardening, sustainability, and education markets.
It offers:
• A complete app already live on the App Store
• Subscription-based monetization via Apphud SDK
• Seamless AI plant recognition with camera support
• Rich plant insights and encyclopedia functionality
• 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 Plant Identifier is not just source code — it’s a revenue-ready business in the high-demand AI plant and sustainability space.
Save months of development time and launch your own AI-powered plant identification app today.
Features
- Native iOS Development – Built with Swift and UIKit for a fast, smooth, and reliable experience across all iOS devices.
- MVVM Architecture – Clean and modular codebase, easy to scale, customize, and maintain for future updates.
- AI Plant Identification – Instantly identify plants by taking a photo and get detailed information about the species, names, and characteristics.
- Vision API + OpenAI – Combines GPT and Vision capabilities for accurate plant recognition and useful insights.
- Care & Growth Tips – Automatically generated recommendations for watering, light, temperature, and repotting.
- Plant History Tracking – Keeps a log of identified plants for easy access and monitoring of your personal collection.
- Firebase Integration – Supports user authentication, image storage, and syncing of identified plants across sessions.
- Subscription Management – Fully integrated with Apphud for monetization: in-app purchases, premium access, and remote paywall control.
- Multi-Paywall Support – Easily configure multiple subscription screens and trial options with Apphud placement mapping.
- Customizable UI – Centralized color and asset system for quick rebranding to fit gardening, nature, or education themes.
- Optimized AI Performance – Fast image recognition with low latency for a seamless real-time user experience.
- Secure & Compliant – Adheres to Apple’s privacy guidelines with secure backend handling of user data and analytics.
- App Store Ready – Fully optimized for the latest iOS SDKs and ready for smooth App Store submission and approval.
Requirements
- 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 theÂ
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.
Instructions
- 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 yourÂ
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!