Diabetes Risk Prediction App

This project is a simple machine learning web app that predicts whether a person has High Risk or Low Risk of diabetes based on health details.

The app is built using Python, Machine Learning, and Gradio and runs in Google Colab.

Features

• Predicts diabetes risk
• Easy to use web interface
• Light and attractive design
• Instant result after clicking Predict

Input Details Used

• Pregnancies
• Glucose
• Blood Pressure
• BMI
• Age

Technologies Used

• Python
• Pandas
• NumPy
• Scikit-learn
• Gradio

Files in This Project

HealthPredictionApp/ ├── Health_Prediction_App.ipynb ├── health_model.pkl ├── diabetes.csv ├── requirements.txt └── README.md

How to Run in Google Colab

1. Open Google Colab
2. Upload the notebook file
3. Upload the dataset and model file
4. Run all cells
5. Enter values and click Predict

Sample Input

Pregnancies: 2
Glucose: 120
Blood Pressure: 70
BMI: 28
Age: 30

Output: Low Risk

Result

The app shows:

• Low Risk or High Risk