radiology_research_sliit_jekyll

radiology_research_sliit_jekyll

HealthFast

Give Radiologists a AI based prediction model for the diagnosis and get real-time analysis.

Live Demo

Installation

Installing Ruby & Jekyll

If this is your first time using Jekyll, please follow the Jekyll docs 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.

Credits

License

This website is open source under the MIT license.

Developer

Name: Banura Randika Perera
Linkedin: randika-banura
Email: [email protected]
Bsc (Hons) Information Technology specialized in Software Engineering (SLIIT)