This package provides a complete FloraLens | AI Plant Identifier and Care Guide iOS Mobile App built with a modern, elegant UI/UX and AI-powered botanical features. The app allows users to instantly identify plant species and diagnose plant health using camera and gallery input, discover scientific taxonomy, receive customized care recommendations powered by Google Gemini AI, track identification progress over time, and get expert botanical guidance from the AI Plant Coach for a seamless gardening experience.

Demo Video:

Watch Demo Video From here

Support:

For support, please contact: hakamali1237@gmail.com

WhatsApp:

The application includes essential modules such as AI Plant Scanner, Plant Health Diagnostics, Plant AI Care Coach, Plant Progress & Analytics Dashboard, Identification History, and Interactive Onboarding for a complete botanical management experience.
Integrated SwiftData (SQLite) local database to store plant identification records, botanical details, captured photos, and history for full offline support, fast performance, and zero recurring database hosting costs.
Built with a clean, scalable, and modular SwiftUI MVVM architecture using reusable components, making it effortless to customize and extend.
Modern UI/UX design featuring smooth laser scanner animations, responsive layouts, nature-inspired emerald theme, and fully customizable colors, text, icons, and typography.
In-App Purchase & Subscription Ready: Includes comprehensive developer guidance and production-ready StoreKit 2 blueprints to gate AI botanical identifications behind a freemium quota (e.g., 3 free scans) or auto-renewable Pro subscriptions, protecting you against unexpected API costs and enabling 98%+ margin monetization.

Important Note – AI Features, Security & API Billing Disclaimer

AI Disclosure: This application uses Google Gemini AI (Gemini 2.5 Flash Vision & Chat) as a core engine for plant species recognition, health diagnostics, care tips generation, and conversational plant coaching. All AI features communicate via a secure Node.js Express proxy server included in the package to protect your API key from exposure in compiled iOS binaries, strictly adhering to App Store and Envato security standards.

AI services rely on Google’s Generative Language API (Gemini). Buyers can obtain an API key from Google AI Studio and insert it into the backend/.env file.

⚠️ Explicit API Billing Warning & Usage Disclosure: Google Gemini API offers a free tier for development, personal use, and initial testing (with rate limits such as 15 Requests Per Minute / 1,500 Requests Per Day on Gemini 2.5 Flash). Please be explicitly aware that API usage beyond Google’s free tier thresholds or under pay-as-you-go commercial billing plans will result in charges billed directly to your linked Google Cloud / Google AI Studio payment method. In a live App Store production environment with heavy user traffic, high request volumes can result in real monetary costs. As the app owner/buyer, you are directly responsible for all API usage costs incurred by your users, configuring usage caps/quotas, and setting up billing threshold alerts inside the Google Cloud Console. To control production costs, the package includes complete implementation guidance for gating AI identifications behind Apple StoreKit 2 In-App Purchases and Pro subscriptions.

All plant identification records, photos, and history logs are stored locally on the device using SwiftData. The AI processing happens securely in the cloud via the Gemini API proxy.

Instant Testing Access: This application is built with a privacy-first, offline-capable architecture using on-device SwiftData (SQLite) local storage. No account registration, login, or demo credentials (email/password) are required to test or use the app. Buyers, reviewers, and end-users get immediate access upon launch.

How to Test the Application:

Instant Launch: Build and run the app in Xcode (Simulator or physical iOS device). It launches directly into the onboarding experience and main dashboard with zero login barriers or credential prompts.
Test AI Plant Scanner & Disease Diagnostics: Navigate to the Scanner tab, take a photo or select any plant, flower, or leaf photo from your library, and tap Identify Plant to view botanical taxonomy, scientific classification, health status (Healthy / Needs Attention / Critical), and confidence scores.
Test Plant Care Guides & Maintenance: View tailored botanical care regimens generated for the scanned plant, including watering frequency, sunlight requirements, optimal soil type, growth rate, and toxicity warnings.
Test AI Botanist & Plant Doctor Chatbot: Open the Chat tab and send any plant care or gardening inquiry (e.g., “Why are my Monstera leaves turning yellow?” or “How often should I water a Snake Plant?”) with optional photo attachments for visual plant disease diagnosis.
Test Garden History & Analytics: Navigate to the Garden History and Analytics tabs to explore real-time local SwiftData persistence, plant health distributions, and species diversity charts.
Built-In Demo Experience & Transparent Fallbacks: If you run the app without setting up a backend proxy or Gemini API key, the app gracefully presents informative error dialogues with retry controls, while all local storage, garden browsing, and navigation features remain 100% interactive and fully functional out of the box!

App Screens & Modules

AI Botanical Plant Scanner Module

Instant AI-Powered Plant Identification via Gemini 2.5 Flash Vision
Animated Viewfinder Laser Overlay & Crosshair HUD
Common Name, Scientific Binomial Name, Taxonomy Family & Origin
Confidence Score ( ) x%x Botanical Overview
Live Camera and Photo Library Input Support

Plant Health Diagnostics & Care Module

Real-time Health Vitality Rating (Healthy, Needs Attention, Critical)
Key Botanical Metrics: Water Needs, Sunlight Requirement, Growth Rate, Toxicity Level, Bloom Season & Soil Type
Personalized Care & Treatment Tips
Preventive Maintenance Recommendations

Identification History Module (SwiftData Offline)

Comprehensive Local Logs of Past Plant Identifications
High-Resolution Cached Photo Thumbnails & Details
Full Botanical Profile View with Complete Care Specifications
100% Offline Local Storage for Maximum Speed and Privacy

Plant AI Care Coach Chatbot Module

Interactive Botanical AI Chatbot for Gardening, Pest Control & Soil Advice
Multimodal Context-Aware Chat (Text & Photo Support)
Photo Attachment & Clear Image Preview Controls
Real-Time Typing Indicators & Formatted Message History

Plant Progress & Analytics Module

Total Plant Discoveries Counter & Discovery Statistics
Health Condition Distribution Charts (Healthy vs Needs Attention vs Critical)
Plant Category & Species Diversity Breakdown

Onboarding & Navigation Module

Interactive 3-Step Onboarding Carousel with Nature Illustrations
Minimalist Light-Themed Splash Screen with Pulsing Logo
Custom 5-Tab Floating Bottom Navigation Bar with Glowing Active Indicators

Platform Compatibility

iPhone Supported (All modern screen sizes)
iPad Supported (iPadOS responsive layout)
iOS 17.0 or later

Project Requirements

macOS Sonoma 14.0+ or macOS Sequoia 15.0+
Xcode 15.0 or Xcode 16.0+
iOS 17.0 or later
Swift 5.0 (Strict concurrency compliant)
Google Gemini API key (Free tier available at Google AI Studio; commercial billing applies upon high volume)
Active internet connection for live AI features (Offline plant history & transparent error recovery)

Note

This is a production-ready, 100% native SwiftUI application with a modern UI and clean MVVM architecture—perfect for launching an AI-powered plant identifier, botanical disease diagnostic scanner, and intelligent plant care assistant app on the App Store. All core data persistence works fully offline using SwiftData.

FloraLens | AI Plant Identifier and Care Guide iOS Mobile App