NirmalKnock / Plant-Diseases-Detector

For this project, we will create an end-to-end Android application with TFLite that will then be open-sourced as a template design pattern. We opte to develop an **Android application that detects plant diseases**.

Plant Diseases Detector

The project is broken down into multiple steps:

• Building and creating a machine learning model using TensorFlow with Keras
• Deploying the model to an Android application using TFLite
• Documenting and open-sourcing the development process

Blogs

• Plant Disease Classification with TensorFlow Lite on Android Part 1
• Plant Disease Classification with TensorFlow Lite on Android Part 2

Screenshots

App demo

Green Doctor Demo

Libraries

• Tensorflow 2.0
• TensorFlow Lite

Programming Languages

• Python
• Kotlin

License

Copyright (c) 2019 Yannick Serge Obam

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.