Diabetes Prediction App

For Opening a WebApp - https://6890c6b0ddf903296517c592--diabetescheckapp.netlify.app/

Login id -kh949118@gmail.com,password - Harsh@1234

Overview

A Streamlit web app that predicts whether a patient is likely to have diabetes based on health parameters.
Built with Python, Scikit-learn, and Streamlit.

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Features

• User-friendly web interface
• Input fields for health metrics (e.g., Glucose, BMI, Age)
• Machine learning-based prediction
• Instant results
• Can be deployed online for public access

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File Structure

diabetes-prediction-app ├── app.py # Main Streamlit app ├── model.pkl # Trained ML model ├── requirements.txt # Dependencies ├── README.md # Project documentation └── data/ └── diabetes.csv # Dataset

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Dataset

The model is trained using the Pima Indians Diabetes Database from Kaggle:
Dataset Link

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How to Run Locally

# Clone this repository
git clone https://github.com/your-username/diabetes-prediction-app.git

# Navigate to the project folder
cd diabetes-prediction-app

# Install dependencies
pip install -r requirements.txt

# Run the app
streamlit run app.py

Requirements

Python 3.8+
Streamlit
Pandas
Scikit-learn
Numpy

Install them all with:
pip install -r requirements.txt