🧠 Diabetes Prediction Web App Using Machine Learning

A simple machine learning-based web application built with Streamlit that predicts whether a person is diabetic or non-diabetic based on glucose and blood pressure levels.

This project demonstrates how to build, train, and deploy a machine learning model in an interactive web interface.

---

📌 Features

• Input glucose and blood pressure levels
• Predicts whether the person is Diabetic or Non-Diabetic
• Built using Streamlit for the web interface
• Model trained and serialized using Scikit-learn

---

📂 Files

File	Description
app.py	Streamlit script to run the web app
model.pkl	Pickled machine learning model for prediction
Diabetis_detection_system.ipynb	Jupyter Notebook used for model training

---