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Diabetes Predictor

Diabetes Predictor is a web application that predicts whether a patient has diabetes or not based on the parameters entered by the patient. The parameters include the number of pregnancies for females (0 in case of male), glucose level in blood, blood pressure, skin thickness (in mm), insulin level in blood, body mass index (BMI), and age (in years).

Features

  • Patient can enter their parameters and get a prediction on whether they have diabetes or not
  • Easy to use interface for entering parameters and getting results

Technologies Used

  • Flask
  • HTML/CSS/JS
  • Scikit-learn

Installation

  1. Clone the repository
    git clone https://github.com/itsdheerajdp/diabetes_predictor.git
  2. Navigate to the project directory
    cd diabetes_predictor
  3. Install the dependencies
    pip install -r requirements.txt
  4. Run the application
    python app.py

Usage

To use the application, navigate to http://127.0.0.1:5000/ in your web browser.

  • Enter the required parameters in the input fields and click on the "Predict" button to get the result.
  • The result will be displayed on the screen as "Yes" or "No".

Contributing

We welcome contributions from anyone.