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Academic / AI Project
Plant Disease Identification App
Project Vision
Engineered a cross-platform mobile application using Flutter (Dart) for identifying plant diseases through image recognition. The app leverages C++ based ML model inference for real-time leaf analysis, supporting both iOS (Swift) and Android (Kotlin) platforms. Users can capture or upload plant leaf images and receive instant disease diagnosis with treatment recommendations.
Key Features & Innovations
Flutter cross-platform UI for iOS and Android
C++ ML model inference for real-time leaf analysis
Camera integration for instant disease scanning
Treatment recommendations and disease database
Final Outcome
"AI-powered mobile tool for instant plant disease diagnosis"
Project Links
Built With
FlutterDartC++SwiftKotlinMachine Learning