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The project uses a machine learning model created in a two-person group as part of a class at the university. I used the Flask library to create the REST API. Joblib was used to load the machine learning model saved in .joblib format. The graphical interface is provided through an application written in React, using several libraries.

HTML 1.17% JavaScript 71.41% CSS 11.89% Procfile 0.04% Python 15.44% Shell 0.05%

breath-guard's Introduction

BreathGuard: AI-Powered Lung Cancer Risk Predictor (Work in Progress)

BreathGuard is a react web application that uses a machine learning model to predict lung cancer risk. The graphical interface is provided through an application written in React, using several libraries such as react-bootstrap, and react-icons.

Live Demo

You can access the live demo of BreathGuard on Netlify.

Table of Contents

Machine Learning Model and API

The application communicates with my model using API, which I provided at this link: https://lung-cancer-prediction-d3d07d9e4aad.herokuapp.com

Related

Link to the dataset used to train the model: https://www.kaggle.com/datasets/thedevastator/cancer-patients-and-air-pollution-a-new-link

Link to the college project repository: https://github.com/arix2000/MachineLearningProject

Installation

To run this project locally, you need to have Python installed on your system. Follow these steps to install the required dependencies:

1. Install and run my ML Model

2. Install Client Dependencies:

To install the necessary dependencies for the frontend, navigate to the "client" directory and run the following command:

  cd client
  npm install

Run Locally

Run React Frontend:

Navigate to the client directory and start the React frontend:

  cd client
  npm start

Screenshots

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breath-guard's People

Contributors

joohnnyvv avatar arix2000 avatar

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