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🏥 Diabetes Risk Prediction Web App

An AI-powered web application that predicts whether a person is at risk of diabetes based on medical inputs. The model is built using Machine Learning and deployed through a simple Flask web interface.

🚀 Project Overview

This project uses a trained Machine Learning classification model to analyze health parameters and predict diabetes risk.

User enters medical details → Model processes data → Web app displays prediction.

🧠 Features

  • Predicts diabetes risk instantly
  • Simple and user-friendly interface
  • Machine Learning model trained on medical dataset
  • Data preprocessing with feature scaling
  • Built using Flask framework

📊 Input Parameters

The model takes the following medical inputs:

  • Pregnancies
  • Glucose Level
  • Blood Pressure
  • Skin Thickness
  • Insulin Level
  • Body Mass Index (BMI)
  • Diabetes Pedigree Function
  • Age

📤 Output

The system predicts:

  • Low Diabetes Risk ✅
  • High Diabetes Risk ⚠️

🛠️ Technologies Used

  • Python
  • Scikit-learn
  • Flask
  • NumPy
  • Joblib
  • HTML

🚀 Getting Started

1. Clone the Repository

git clone https://github.com/codeXsidd/Ai-Diabetes-Risk-Prediction.git