https://github.com/gimnathperera/plant-safe

Deep learning based plant disease detection cross-platform mobile application.
https://github.com/gimnathperera/plant-safe

convolutional-neural-networks deep-learning flask python react-native tensorflow

Last synced: 2 months ago
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Deep learning based plant disease detection cross-platform mobile application.

• Host: GitHub
• URL: https://github.com/gimnathperera/plant-safe
• Owner: gimnathperera
• Created: 2020-07-08T04:21:58.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-06-30T05:41:18.000Z (over 1 year ago)
• Last Synced: 2023-09-17T18:32:19.876Z (over 1 year ago)
• Topics: convolutional-neural-networks, deep-learning, flask, python, react-native, tensorflow
• Language: JavaScript
• Homepage:
• Size: 22.6 MB
• Stars: 22
• Watchers: 4
• Forks: 13
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Project Overview

🚀 Plant Safe is a AI (Deep Learning) based plant disease recognition application that can identify upto 10 various types of plant diseases by analyzing plant leaves. The app contains following features;


- User registeration


- User authentication


- User logout


- Select image from device gallery


- Take a photo from device camera


- Identifying plant disease


- View details about various plant diseases


🚀 **Tech Stack** - React Native | Convolutional Neural Networks | Flask | MySql 


## Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

### Prerequisites

- NPM / Yarn and Node.js installed

- Expo-CLI installed

- python installed

- Anaconda installed

### Installing the client app

Installing NPM modules

Execute these commands from the client directory

```

npm install

```

### Running the client app

and open another terminal on client directory

```

expo start

```

### Installing the client app

Open another terminal on server directory

```

conda create -n venv python=3.9

conda activate venv

conda install [dependencies]

```

### Running the server app

```

python app.py

```