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Plantor - AI Plant Care Assistant
Native iOS application offering instant plant identification, disease diagnosis, and personalized care guides using on-device AI.
Mobile Developer
2025-Present
Screenshots
1 / 5
About This Project
Plantor is a comprehensive iOS application built with SwiftUI that empowers plant enthusiasts to take better care of their plants. It utilizes CoreML and the Vision framework to provide real-time, on-device plant identification and disease diagnosis without needing an internet connection for inference. The app features a beautiful, native user interface with smooth animations and provides detailed care guides, watering schedules, and a wide database of plant species.
Key Features
- Instant offline plant identification using CoreML
- Real-time disease diagnosis with treatment recommendations
- Detailed care guides (Watering, Light, Temperature)
- Smart watering reminders and schedule management
- Native iOS design with smooth animations and haptics
- Privacy-focused: All AI processing happens on-device
Challenges & Solutions
- Optimizing ML models for mobile devices to ensure low latency
- Designing a seamless camera interface for real-time detection
- Building a robust local database for offline access
- Implementing complex UI animations in SwiftUI
Results & Impact
- Achieved <100ms inference time for plant detection
- Highly rated user experience for its intuitive design
- Successful deployment of complex ML features on mobile
Technologies Used
SwiftSwiftUICoreMLVision FrameworkCombineiOS SDK
Project Details
- Category
- mobile
- My Role
- Mobile Developer
- Duration
- Ongoing
- Year
- 2025-Present
- Status
- Public