Diabetes Prediction Website

Welcome to the Diabetes Prediction Website! This website provides a platform for users to predict their likelihood of developing diabetes based on various factors.

Features

• Prediction Page: Users can input their demographic and health data to receive a prediction of their likelihood of developing diabetes.
• Visualization Page: Visual representations of data related to diabetes risk factors, including correlation heatmaps and feature importance plots.
• About Page: Provides information about the website, its purpose, and the team behind its development.

Technologies Used

• Frontend:

  • React.js
  • JavaScript
  • HTML
  • CSS
  • Tailwind CSS (for styling)

• Backend:

  • Python
  • Flask

• Data Analysis and Prediction:

  • pandas
  • scikit-learn

• Data Visualization:

  • Matplotlib
  • Seaborn

Installation

1. Clone the repository:

   git clone <repository_url>
   cd diabetes-prediction-website
   

2. Installation dependencies:

Install frontend dependencies

cd client npm install

Install backend dependencies

cd ../server pip install -r requirements.txt

3. Run the development server:

Start frontend development server

cd client npm start

Start backend development server

cd ../server python app.py