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React web-app that reads rapid medical test results using two custom trained Tensorflow ML models.

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ReadMe!: WebApp for Assisting Blind Individuals in Reading Medical Tests

Welcome to our web application designed to assist blind individuals in reading medical tests. This application aims to provide a user-friendly interface that enables blind users to interpret and understand various medical test results. You can see the application here!

Demo Video

https://youtu.be/ijmQ5Rg2q8g

Table of Contents

Introduction

The app was developed to bridge the accessibility gap for visually impaired individuals when it comes to understanding medical test results. It utilizes advanced technologies such as Machine Learning to convert test results to synthesized speech and large contrasted print.

Installation

To set up this application locally, please follow these steps:

  1. Clone the repository:

    git clone https://github.com/Resultats-de-Testes-Accessibles/RTA.git
    
  2. Navigate to the project directory:

    cd read-me-35.github.io
    
  3. Install the dependencies:

    npm install
    
  4. Start the web application:

    npm run dev
    
  5. Access the application by visiting http://localhost:5173 in your web browser.

Accessibility

We developed this application with accessibility in mind. The application is compatible with screen readers and provides alternative formats such as synthesized speech.

Contributing

We welcome contributions to enhance the functionality and accessibility of this medical test reader. If you would like to contribute, please follow these steps:

  1. Fork the repository on GitHub.
  2. Create a new branch for your feature or bug fix.
  3. Develop your feature or bug fix on the created branch.
  4. Commit and push your changes to your forked repository.
  5. Submit a pull request, explaining the changes you have made.

License

ReadMe! is released under the MIT License. You are free to modify and distribute the application under the terms specified in the license.


Thank you for choosing ReadMe!. We hope it provides valuable assistance to visually impaired individuals in understanding their medical test results.

Group information

Group: FA3.5

Name: Sacha Arseneault Student #: 300152630

Name: Henry Saber Student #: 300272921

Name: Jacob Taylor Student #: 300273062

Name: Yassine Boukattaya Student #: 300286970

Name: Jean-Marc Student #: 300289497

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React web-app that reads rapid medical test results using two custom trained Tensorflow ML models.

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