https://github.com/bhmuxkan/glucose-predictor-app
🧬 Predicts glucose levels using R Shiny and linear regression on health data
https://github.com/bhmuxkan/glucose-predictor-app
ai-health data-science data-visualization glucose-prediction healthcare linear-regression machine-learning predictive-model r shiny
Last synced: 22 days ago
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🧬 Predicts glucose levels using R Shiny and linear regression on health data
- Host: GitHub
- URL: https://github.com/bhmuxkan/glucose-predictor-app
- Owner: bhmuxkan
- License: mit
- Created: 2025-06-23T19:11:25.000Z (12 months ago)
- Default Branch: main
- Last Pushed: 2025-07-02T09:11:47.000Z (11 months ago)
- Last Synced: 2025-07-10T08:41:51.628Z (11 months ago)
- Topics: ai-health, data-science, data-visualization, glucose-prediction, healthcare, linear-regression, machine-learning, predictive-model, r, shiny
- Language: R
- Homepage:
- Size: 38.1 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# 🧠 GlucoIntel – Predictive AI Health Assistant (2025)
A Shiny-powered R app that turns real-world diabetes health data into a gentle, intelligent health assistant. It uses a linear regression model to estimate glucose levels from user inputs — visualized beautifully with Plotly.
*Smarter Insights, Healthier Living*
---
## 🌸 What This App Can Do for You
- Predicts glucose levels based on user inputs like:
- Pregnancies, Blood Pressure, Skin Thickness
- Insulin, BMI, Diabetes Pedigree Function, Age
- Shows an interactive BMI vs Glucose plot, powered by Plotly
- Offers model insights that are simple to understand:
- Key feature contributions
- R² score to reflect how well it performs
- Clean, responsive UI built with Shiny + custom HTML/CSS
---
## 💻 Tech Stack
**Language:**
R
**Core Libraries:**
• `shiny` — app framework
• `dplyr` — data manipulation
• `plotly` — interactive visualization
**Machine Learning Model:**
• Linear Regression (base `lm()` in R)
**Interface & Styling:**
• Shiny UI with custom HTML & CSS
---
## 📂 Requirements
- **Software**:
- R and RStudio
- R packages: `shiny`, `dplyr`, `plotly`
- **Dataset**:
- `diabetes.csv` with fields for `Pregnancies`, `BloodPressure`, `SkinThickness`, `Insulin`, `BMI`, `DiabetesPedigreeFunction`, `Age`, and `Glucose`.
---
## ⚙️ How to Run
### 1. **Clone the repository**
```bash
git clone https://github.com/bhmuxkan/glucointel-ai-app.git
cd glucointel-ai-app
```
### 2. **Open R or RStudio and run the app**
```r
shiny::runApp('app.R')
```
### 3. **Make sure you have the required packages installed:**
```r
install.packages(c("shiny", "dplyr", "plotly"))
```
---
## 🖥️ Usage
1. **Run the Application**:
```r
shinyApp(ui = ui, server = server)
```
2. **Input Data**: Enter health details in the sidebar and hit "Predict Glucose Level".
3. **View Prediction**: The predicted glucose level will appear on the main panel, styled for clarity.
---
## 💡 Why I Built This
*GlucoIntel* started as a personal project — a quiet space to explore real healthcare data and build something that feels both meaningful and usable.
I wanted it to be more than just technically sound — something intuitive, thoughtful, and designed to help.
Through this project, I was able to:
- Work with real clinical datasets
- Build and interpret a clear machine learning model in R
- Design a soft, human-centered UI using Shiny
- Communicate results in a way that’s visual and accessible
This app reflects how I love to create: with clarity, care, and intention — blending data with design to make something gentle and empowering.
---
## 🤝 Contribution
Contributions are welcome to help improve this project! You can:
1. **Fork the Repository** on GitHub.
2. **Create a New Branch** for your feature or bug fix:
```bash
git checkout -b feature-name
```
3. **Make Your Changes** and commit:
```bash
git commit -m "Add new feature or fix"
```
4. **Push Changes** to your branch:
```bash
git push origin feature-name
```
5. **Submit a Pull Request** explaining the changes made.
We encourage you to suggest improvements, file issues, and help enhance this application!
---
## 📬 Connect With Me
If you love thoughtful UI, health tech, or just want to say hi — I’d love to connect.
- LinkedIn – [Muskan](https://www.linkedin.com/in/bhmuxkan)
---
## 📄 License
- This project is released under the **`MIT LICENSE`**
- Feel free to use, modify, and share — with kind attribution
---