https://github.com/machinelearningprodigy/diabetes-analysis
A simple Diabetes Prediction App built using Streamlit and Machine Learning. This app predicts diabetes risk based on health parameters. 🏥🔬
https://github.com/machinelearningprodigy/diabetes-analysis
pandas pickle pip python3 streamlit xgboost
Last synced: about 2 months ago
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A simple Diabetes Prediction App built using Streamlit and Machine Learning. This app predicts diabetes risk based on health parameters. 🏥🔬
- Host: GitHub
- URL: https://github.com/machinelearningprodigy/diabetes-analysis
- Owner: machinelearningprodigy
- Created: 2024-01-29T14:11:36.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-02-27T18:57:48.000Z (3 months ago)
- Last Synced: 2025-03-27T06:32:12.772Z (2 months ago)
- Topics: pandas, pickle, pip, python3, streamlit, xgboost
- Language: Python
- Homepage: https://diabetes-detection-system.streamlit.app/
- Size: 90.8 KB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 🩸 Diabetes Detection App
A simple **Diabetes Prediction App** built using **Streamlit** and **Machine Learning**. This app predicts diabetes risk based on health parameters. 🏥🔬
## ✨ Features
- **User-friendly UI** with sliders & dropdowns 🖱️
- **Machine Learning Model** for accurate predictions 🤖
- **Color-coded results**: No Diabetes 🟢 | Diabetes Present 🔴
- **Interactive user inputs** for better experience 🎯
## 🛠️ Technologies Used
- **Python** 🐍
- **Streamlit** 🎈
- **Pandas** 📊
- **XGBoost** ⚡
- **Pickle (Model Loading)** 📦
## 🚀 How to Run
### 1️⃣ Install Dependencies
```sh
pip install streamlit pandas xgboost pickle-mixin
```
### 2️⃣ Run the App
```sh
streamlit run app.py
```
## 📊 Input Features
- **Gender** 🚻
- **Age** 👶👴
- **Hypertension** ❤️
- **Heart Disease** 💔
- **Smoking History** 🚬
- **BMI (Body Mass Index)** ⚖️
- **HbA1c Level (Hemoglobin A1c)** 🩸
- **Blood Glucose Level** 🍬
## 🎯 Prediction
The model predicts diabetes risk based on user inputs and displays the result with a **color-coded message**:
- 🟢 **No Diabetes**
- 🔴 **Diabetes Present**
## 📌 Future Enhancements
- ✅ Improve model performance
- ✅ Add visualizations 📊
- ✅ Enhance UI/UX
## 👨💻 Developed By
[Machine Learning Prodigy](https://github.com/machinelearningprodigy)
## 📜 License
This project is open-source under the **MIT License**.