This project is an attempt to solve the problem of inadequacy of radiologists, as well as good radiological counsel in Ghana using an artificial intelligence system that leverages the wealth of experience of radiologists all over the world to provide insights into radiological examination. This solution focuses on a few pathologies of the knee. Thus, it seeks to detect as well as predict the occurrence of certain knee pathologies from xray data that is fed to it.
# apex-predictrons
```shell
This project is an attempt to solve the problem of inadequacy of radiologists, as well as good radiological counsel in Ghana using an artificial intelligence system that leverages the wealth of experience of radiologists all over the world to provide insights into radiological examination. This solution focuses on a few pathologies of the knee. Thus, it seeks to detect as well as predict the occurrence of certain knee pathologies from xray data that is fed it.
```
To get started with this project, kindly follow the instructions below:
## Installation
First, clone the repo:
```shell
git clone
github.com
```
```shell
Be sure to checkout the Development branch and push all your commits there.
git pull
git checkout Development
To add and commit your changes, use
git add .
git commit -m "Commit message"
git push
```
## Apex-Predictrons System Backend
```shell
cd path/to/backend/src
python manage.py makemigrations
python manage.py migrate
python manage.py test
python manage.py runserver
```
## Install React.js globally
```shell
sudo npm install -g create-react-app (Mac/Linux users) or npm install -g create-react-app (for Windows users)
```
## Apex-Predictrons System UI
```shell
cd path/to/frontend/src
npm install
```
## Run tests
```shell
npm test
```
## React server for local development
```shell
npm start
```
## Build for production
```shell
npm run-script build
```
## Backend App
```shell
Django Rest API with JSON web token(JWT) authentication
```
## Usage
```shell
cd backend
pip3 install virtualenv or pip install virtualenv (for Windows users)
virtualenv env
source env/bin/activate or env/scripts/activate
```
## Install all the packages from requirements.txt
```shell
pip3 or python install -r requirements.txt
```
## Migrate
```shell
python3 or python manage.py makemigrations
python3 or python manage.py migrate
```
## Start the app
```shell
python3 or python manage.py runserver
```