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https://github.com/gimnathperera/molemi-app
Molemi App is a AI (Deep Learning) based plant disease recognition application that can identify up to 10 various types of plant diseases by analyzing plant leaves.
https://github.com/gimnathperera/molemi-app
cnn deep-learning expo flask mysql reactnative tensorflow
Last synced: 3 months ago
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Molemi App is a AI (Deep Learning) based plant disease recognition application that can identify up to 10 various types of plant diseases by analyzing plant leaves.
- Host: GitHub
- URL: https://github.com/gimnathperera/molemi-app
- Owner: gimnathperera
- Created: 2022-02-22T14:00:18.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-05-25T11:18:26.000Z (over 2 years ago)
- Last Synced: 2023-09-17T18:32:19.691Z (over 1 year ago)
- Topics: cnn, deep-learning, expo, flask, mysql, reactnative, tensorflow
- Language: JavaScript
- Homepage:
- Size: 5.51 MB
- Stars: 10
- Watchers: 2
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Project Overview
🚀 Molemi App 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
🚀 **Views**
## 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=3.7
conda activate venv
conda install [dependencies]
```
### Running the server app
```
python app.py
```