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Plant-Disease-Detection-App
🌿 Plant Leaf Disease Detection using CNN | Android App This project is a mobile application built using Java/Kotlin and a Convolutional Neural Network (CNN) model to detect diseases in plant leaves. It leverages machine learning to classify images of leaves into categories like healthy or infected, providing users with insights into the type of di
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Plant-Disease-Detection-App
🌿 Plant Leaf Disease Detection App
This project is an Android-based mobile application that uses a Convolutional Neural Network (CNN) model to detect plant leaf diseases from images. The app provides real-time disease classification and suggests treatment solutions to help farmers take immediate action. It works offline using a TensorFlow Lite (.tflite) model for fast, on-device inference.
📱 Features
- Image-based plant disease detection using CNN
- Offline functionality with TensorFlow Lite
- Built with Java/Kotlin in Android Studio
- Easy-to-use UI for farmers and agricultural users
- Displays predicted disease name and treatment advice
🧠 Machine Learning Model
- Model Type: Convolutional Neural Network (CNN)
- Framework: TensorFlow/Keras
- Dataset: PlantVillage
- Input Image Size: 224x224 pixels
- Output: Disease label and treatment suggestion
- Optimized and converted to
.tfliteformat for Android deployment
🛠 Tech Stack
| Component | Technology |
|---|---|
| Frontend | Android (Java/Kotlin) |
| ML Framework | TensorFlow/Keras |
| Mobile ML Inference | TensorFlow Lite (.tflite) |
| IDE | Android Studio |