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It uses a linear regression model to estimate glucose levels from user inputs — visualized beautifully with Plotly.\n\n*Smarter Insights, Healthier Living*\n\n\u003cvideo src=\"https://github.com/user-attachments/assets/d3ab3860-9ebe-4b48-a6d3-0b1654643111\" controls width=\"100%\"\u003e\u003c/video\u003e\n\n---\n\n## 🌸  What This App Can Do for You\n\n- Predicts glucose levels based on user inputs like:\n  - Pregnancies, Blood Pressure, Skin Thickness  \n  - Insulin, BMI, Diabetes Pedigree Function, Age\n\n- Shows an interactive BMI vs Glucose plot, powered by Plotly\n\n- Offers model insights that are simple to understand:\n  - Key feature contributions\n  - R² score to reflect how well it performs\n\n- Clean, responsive UI built with Shiny + custom HTML/CSS\n\n---\n\n## 💻 Tech Stack\n\n**Language:**  \n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;R\n\n**Core Libraries:**  \n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;• `shiny` — app framework  \n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;• `dplyr` — data manipulation  \n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;• `plotly` — interactive visualization\n\n**Machine Learning Model:**  \n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;• Linear Regression (base `lm()` in R)\n\n**Interface \u0026 Styling:**  \n\u0026nbsp;\u0026nbsp;\u0026nbsp;\u0026nbsp;• Shiny UI with custom HTML \u0026 CSS\n\n---\n\n## 📂 Requirements\n- **Software**:\n  - R and RStudio\n  - R packages: `shiny`, `dplyr`, `plotly`\n- **Dataset**:\n  - `diabetes.csv` with fields for `Pregnancies`, `BloodPressure`, `SkinThickness`, `Insulin`, `BMI`, `DiabetesPedigreeFunction`, `Age`, and `Glucose`.\n\n---\n\n## ⚙️ How to Run\n\n### 1. **Clone the repository**\n```bash\ngit clone https://github.com/bhmuxkan/glucointel-ai-app.git\ncd glucointel-ai-app\n```\n\n### 2. **Open R or RStudio and run the app**\n```r\nshiny::runApp('app.R')\n```\n\n### 3. **Make sure you have the required packages installed:**\n```r\ninstall.packages(c(\"shiny\", \"dplyr\", \"plotly\"))\n```\n\n---\n\n## 🖥️ Usage\n1. **Run the Application**:\n   ```r\n   shinyApp(ui = ui, server = server)\n   ```\n2. **Input Data**: Enter health details in the sidebar and hit \"Predict Glucose Level\".\n3. **View Prediction**: The predicted glucose level will appear on the main panel, styled for clarity.\n\n---\n\n## 💡 Why I Built This\n\n*GlucoIntel* started as a personal project — a quiet space to explore real healthcare data and build something that feels both meaningful and usable.\n\nI wanted it to be more than just technically sound — something intuitive, thoughtful, and designed to help.\n\nThrough this project, I was able to:\n\n- Work with real clinical datasets\n- Build and interpret a clear machine learning model in R\n- Design a soft, human-centered UI using Shiny\n- Communicate results in a way that’s visual and accessible\n\nThis app reflects how I love to create: with clarity, care, and intention — blending data with design to make something gentle and empowering.\n\n---\n\n## 🤝 Contribution\nContributions are welcome to help improve this project! You can:\n\n1. **Fork the Repository** on GitHub.\n2. **Create a New Branch** for your feature or bug fix:\n   ```bash\n   git checkout -b feature-name\n   ```\n3. **Make Your Changes** and commit:\n   ```bash\n   git commit -m \"Add new feature or fix\"\n   ```\n4. **Push Changes** to your branch:\n   ```bash\n   git push origin feature-name\n   ```\n5. **Submit a Pull Request** explaining the changes made.\n\nWe encourage you to suggest improvements, file issues, and help enhance this application!\n\n---\n\n## 📬 Connect With Me\n\nIf you love thoughtful UI, health tech, or just want to say hi — I’d love to connect. \n\n- LinkedIn – [Muskan](https://www.linkedin.com/in/bhmuxkan)\n\n---\n\n## 📄 License\n\n- This project is released under the **`MIT LICENSE`**  \n- Feel free to use, modify, and share — with kind attribution \n\n---\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbhmuxkan%2Fglucose-predictor-app","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbhmuxkan%2Fglucose-predictor-app","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbhmuxkan%2Fglucose-predictor-app/lists"}