Finger Nail Disease Detection is a standalone application that will detect the early stage of systemic disease using the color and texture of the fingernails in our hands, this project automatically detect the anomalies and output a early stage of differeny systemic diseases, also this project use SVM supervised machine learning approach along with canny edge detection for finger nail edge detection also this project is built in python flask for backend and electron + reactjs in front-end.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
This is an example of how to list things you need to use the software and how to install them.
npm install npm@latest -g
###Installation
To install python dependencies go to flask folder cd flask-server then create a python virtual environment, hover to your terminal and copy and paste this code python3 -m venv venv, in order to run virtual environment use this command
- Windows Powershell
. .\venv\Scripts\activate.ps1
- Linux Terminal
source ./venv/bin/activate
pip install -r requirements.txt
- Install reactjs dependecies, hover to your terminal and
cd client, then copy and paste this code below.
npm install
Running the development you will need two things.
- Go to the client folder
cd clientand run this command using your terminal
npm run dev
- To run the flask-server go to the flask-server folder
cd flask-serverand run this command.
python server.py
or
python3 server.py