Enter health parameters to get diabetes risk prediction
git clone https://github.com/sanik-b/GlucoGuard.git
cd GlucoGuard
pip install -r requirements.txtstreamlit run app.pyGo to: http://localhost:8501
- Enter your health details in the sidebar
- Click "Predict Diabetes Risk"
- Get instant risk percentage (0-100%)
- See personalized recommendations
| Parameter | Example Value |
|---|---|
| 👶 Pregnancies | 2 |
| 🩸 Glucose Level | 120 mg/dL |
| 💓 Blood Pressure | 80 mmHg |
| 🦵 Skin Thickness | 25 mm |
| 💉 Insulin | 80 μU/ml |
| 📏 BMI | 25.5 |
| 🧬 Diabetes Pedigree | 0.5 |
| 🔢 Age | 35 years |
- Low Risk (0-30%): ✅ Regular checkups advised
- Medium Risk (31-70%):
⚠️ Monitor regularly - High Risk (71-100%): ❌ Consult doctor immediately
GlucoGuard/
├── app.py # Main web application
├── model_training.py # Machine learning model
├── data_preprocessing.py
├── utils.py
├── diabetes.csv # Sample dataset
├── requirements.txt # Python dependencies
└── images/UI.jpeg # App screenshot
- Python - Main programming language
- Streamlit - Web interface framework
- Scikit-learn - Machine learning library
- CatBoost - Gradient boosting algorithm
- Pandas & NumPy - Data processing
This tool is for educational and demonstration purposes only. It should not be used for medical diagnosis or treatment decisions. Always consult qualified healthcare professionals for medical advice.
- GitHub: github.com/sanik-b/GlucoGuard
- Issues: Report problems on GitHub Issues
- Questions: Open a discussion on GitHub
Created by: Sanika Babar
Purpose: Diabetes risk prediction using ML
git clone https://github.com/sanik-b/GlucoGuard.git && cd GlucoGuard && pip install -r requirements.txt && streamlit run app.py⭐ If you find this useful, please give it a star on GitHub!
Made with ❤️ to help understand diabetes risk through AI
Last Updated: December 2024 | Version: 1.0.0