Dog Eye - Bsc Diploma Project

Authors: Eddie Kanevsky, Dror Mor, Ali Shaer, Daniel Sharon

Project Grade

The project has been graded 95/100 by our mentor, Prof. Anna Zamansky.

Abstract

The purpose of this project is to implement a simple application for dog owners to upload their dogs' eye images to detect wheter a dog has a severe condition or not. The application should enable live communication between the dog owners and a vet for a further consultation.

Proposed Solution

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Setup

1. Install Node.js

2. Install Yarn globally and set it to the latest version by running the following commands:

   npm install -g yarn

3. Install all the dependencies:

   yarn install

4. Start the development server:

   yarn start

The application will now be running on http://localhost:3000.

Built With

• React - A JavaScript library for building user interfaces

License

This project is licensed under the MIT License - see the LICENSE.md file for details.