https://github.com/randikabanura/radiology_research_sliit_jekyll
https://github.com/randikabanura/radiology_research_sliit_jekyll
Last synced: 2 months ago
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- Host: GitHub
- URL: https://github.com/randikabanura/radiology_research_sliit_jekyll
- Owner: randikabanura
- License: mit
- Created: 2021-04-14T17:14:02.000Z (about 4 years ago)
- Default Branch: master
- Last Pushed: 2021-04-14T17:17:29.000Z (about 4 years ago)
- Last Synced: 2025-02-05T02:39:32.105Z (4 months ago)
- Language: SCSS
- Size: 2.7 MB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# HealthFast
Give Radiologists a AI based prediction model for the diagnosis and
get real-time analysis.
[Live Demo](https://healthfast.netlify.app/)
## Installation
### Installing Ruby & Jekyll
If this is your first time using Jekyll, please follow the [Jekyll docs](https://jekyllrb.com/docs/installation/) and make sure your local environment (including Ruby) is setup correctly.
### Installing Website
Download or clone the website.
To run the website locally, navigate to the website directory and run:
```
bundle install
```
To start the Jekyll local development server.
```
bundle exec jekyll serve
```
To build the website.
```
bundle exec jekyll build
```
## Deployment
### Netlify
This website contains a `netlify.toml` and has been tested to work with Netlify.
[](https://app.netlify.com/start/deploy?repository=https://github.com/randikabanura/radiology-home.github.io/)
## Credits
- Beautiful royalty free Illustrations by Icons8 - https://icons8.com/illustrations/style--pixeltrue
## License
This website is open source under the MIT license.
## Developer
Name: [Banura Randika Perera](https://github.com/randikabanura)
Linkedin: [randika-banura](https://www.linkedin.com/in/randika-banura/)
Email: [[email protected]](mailto:[email protected])
Bsc (Hons) Information Technology specialized in Software Engineering (SLIIT)