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This app predicts diabetes risk based on health parameters. 🏥🔬  \n\n## ✨ Features  \n- **User-friendly UI** with sliders \u0026 dropdowns 🖱️  \n- **Machine Learning Model** for accurate predictions 🤖  \n- **Color-coded results**: No Diabetes 🟢 | Diabetes Present 🔴  \n- **Interactive user inputs** for better experience 🎯  \n\n## 🛠️ Technologies Used  \n- **Python** 🐍  \n- **Streamlit** 🎈  \n- **Pandas** 📊  \n- **XGBoost** ⚡  \n- **Pickle (Model Loading)** 📦  \n\n## 🚀 How to Run  \n### 1️⃣ Install Dependencies  \n```sh  \npip install streamlit pandas xgboost pickle-mixin  \n```  \n\n### 2️⃣ Run the App  \n```sh  \nstreamlit run app.py  \n```  \n\n## 📊 Input Features  \n- **Gender** 🚻  \n- **Age** 👶👴  \n- **Hypertension** ❤️  \n- **Heart Disease** 💔  \n- **Smoking History** 🚬  \n- **BMI (Body Mass Index)** ⚖️  \n- **HbA1c Level (Hemoglobin A1c)** 🩸  \n- **Blood Glucose Level** 🍬  \n\n## 🎯 Prediction  \nThe model predicts diabetes risk based on user inputs and displays the result with a **color-coded message**:  \n- 🟢 **No Diabetes**  \n- 🔴 **Diabetes Present**  \n\n## 📌 Future Enhancements  \n- ✅ Improve model performance  \n- ✅ Add visualizations 📊  \n- ✅ Enhance UI/UX  \n\n## 👨‍💻 Developed By  \n[Machine Learning Prodigy](https://github.com/machinelearningprodigy)  \n\n## 📜 License  \nThis project is open-source under the **MIT License**.  \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningprodigy%2Fdiabetes-analysis","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmachinelearningprodigy%2Fdiabetes-analysis","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmachinelearningprodigy%2Fdiabetes-analysis/lists"}