Clinical AI Assistant

An AI/ML based Clinical Assistant that doctors to save their time.
This product reduces the waiting time and easy diagnosis for patient disease.

Front End Development

We are creating a website where anyone who is interested in the product can book for the demo and experience the capabilites of the product and how fast the product gives you the results.

Ongoing development

The development is in progress , and we want the github community to find bugs in the website or any other improvement which would enhance the user expirience and optimization of the website as well as SEO (search engine optimization)

Technologies Used

1. Nextjs
2. TailwindCSS
3. Framer -- will be used

How to run the application on your local machine

1. Clone this git repository
2. Use 'npm install' or 'yarn install' to download the dependencies of the application.
3. Use 'npm run dev' or 'yarn run dev' based on your package manager to run the application on your local machine.

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.js. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Inter, a custom Google Font.

Learn More

To learn more about Next.js, take a look at the following resources:

• Next.js Documentation - learn about Next.js features and API.
• Learn Next.js - an interactive Next.js tutorial.

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.