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.
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.
- 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
The model takes the following medical inputs:
- Pregnancies
- Glucose Level
- Blood Pressure
- Skin Thickness
- Insulin Level
- Body Mass Index (BMI)
- Diabetes Pedigree Function
- Age
The system predicts:
- Low Diabetes Risk ✅
- High Diabetes Risk
⚠️
- Python
- Scikit-learn
- Flask
- NumPy
- Joblib
- HTML
git clone https://github.com/codeXsidd/Ai-Diabetes-Risk-Prediction.git