Dzone11/Diabetes-Prediction-

HTMLMIT

Diabetes Prediction App

This is a web application for predicting diabetes based on user input using a machine learning model.

Project Structure

app.py: Flask application script.
train_model.ipynb: Jupyter Notebook for training the model.
diabetes_prediction_model.pkl: Trained ML model (pickle file).
templates/: HTML templates for the web application.

Getting Started

Prerequisites

Python (3.x)
Jupyter Notebook

Installation

Clone the repository:
```
git clone <repository-url>
```

Install the required dependencies:

pip install -r requirements.txt

-Run the Jupyter Notebook train_model.ipynb:

Train the machine learning model and save it as diabetes_prediction_model.pkl.

##Run the Flask application:

python app.py

Open your web browser and go to http://127.0.0.1:5000/ to access the Diabetes Prediction App.
Click on the "Predict" link to navigate to the prediction page.
Enter the required features for prediction and click on the "Predict" button.

License

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

Acknowledgments

This project is based on a machine learning model trained on the Diabetes dataset.
Inspired by the need for a simple and accessible tool for diabetes prediction.

Replace `<repository-url>` with the actual URL of your Git repository. Save this content in a file named `README.md` in the root of your project directory.