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Weight Tracking Shiny App

A comprehensive personal weight and BMI tracking web application built with R Shiny, featuring AI-powered health suggestions. This interactive dashboard helps you monitor your weight trends, calculate BMI, maintain comprehensive fitness records, and receive personalized health advice.

Live Demo

https://jcflyingco.shinyapps.io/weight_tracking/

🌟 Features

Core Functionality

• Interactive Weight Tracking: Log and visualize your weight over time with interactive Plotly charts
• BMI Calculator: Automatically calculate BMI with real-time updates and comparison against healthy ranges
• Unit Conversion: Switch seamlessly between metric (kg, cm) and imperial (pounds, inches) units
• Data Management: Download your data as Excel files and upload new measurements
• Real-time Updates: Automatic data refresh when Excel files are modified
• URL Bookmarking: Share specific views and states via generated URLs
• Multi-language Support: Full internationalization with English and Chinese language switching

🤖 AI-Powered Health Suggestions

• Multiple AI Providers: Choose from Modelscope, OpenRouter, Gemini, or OpenAI-compatible APIs
• Dynamic Provider Selection: Switch between AI providers with automatic URL and model updates
• Personalized Advice: Get health and fitness suggestions based on your recent weight trends
• Markdown Formatting: AI responses display with proper formatting and professional styling
• Error Handling: Graceful fallbacks and helpful troubleshooting messages

User Interface

• Responsive Design: Clean, user-friendly interface that works on desktop and mobile
• Tab-based Navigation: Organized interface with plots, code viewing, and data table tabs
• Interactive Charts: Hover effects, zoom, and pan capabilities on weight and BMI trends
• Professional Styling: Modern card-based layouts with Bootstrap components
• Language Switching: Easy toggle between English and Chinese languages
• Localized Charts: Date formatting and chart labels adapt to selected language

🚀 Getting Started

Prerequisites

• R (version 4.0 or higher recommended)
• Required R packages (see below)

Installation

1. Clone this repository:

   git clone https://github.com/yourusername/weight-tracking-shiny.git
   cd weight-tracking-shiny

2. Install required R packages:

   # Core dependencies
   install.packages(c("shiny", "tidyverse", "readxl", "plotly", "anytime",
                      "bslib", "DT", "rsconnect", "markdown"))
   
   # UI/UX enhancements
   install.packages(c("shinyalert", "shinyjs", "shinydashboard",
                      "shinydashboardPlus", "shinyWidgets"))
   
   # Data processing and AI integration
   install.packages(c("openxlsx", "readr", "rvest", "curl", "httr", "RCurl", "ellmer"))

   Alternative: Quick Installation Script

   Rscript -e "
   install.packages(c('shiny', 'tidyverse', 'readxl', 'plotly', 'anytime',
                      'bslib', 'DT', 'rsconnect', 'markdown', 'shinyalert',
                      'shinyjs', 'shinydashboard', 'shinydashboardPlus',
                      'shinyWidgets', 'rvest', 'curl', 'httr', 'RCurl', 'ellmer'))
   cat('✓ All packages installed successfully\n')
   "

3. Run the application:

   # Method 1: Using R console
   shiny::runApp()
   
   # Method 2: Using command line
   R -e "shiny::runApp()"
   
   # Method 3: Run on specific port (useful for deployment)
   R -e "shiny::runApp(host='0.0.0.0', port=3838)"

🤖 AI Configuration

Setting Up AI Suggestions

1. Choose an AI Provider:

   • Modelscope: Default provider with models like zhipuAI/GLM-4.6
   • OpenRouter: Alternative provider with various AI models
   • Gemini: Google's AI models
   • OpenAI-compatible: Custom OpenAI-compatible endpoints

2. Configure API Key:

   • Select your preferred AI provider from the dropdown
   • Enter your API key in the configuration panel
   • Choose your preferred model (first model selected by default)

3. Get AI Suggestions:

   • Click "Get AI Suggestion" to receive personalized health advice
   • AI analyzes your recent weight trends and provides tailored recommendations
   • Suggestions display in a formatted card with professional styling

🛠️ Project Structure

weight-tracking-shiny/
├── ui.R                 # User interface definition with AI configuration and language switching
├── server.R             # Server-side logic, AI integration, calculations, and language management
├── global.R             # Global settings and bookmarking configuration
├── ai_config.R          # AI provider configuration and management
├── language.R           # Internationalization system (English/Chinese translations)
├── weight shiny.Rproj   # RStudio project file
├── weight.xlsx          # Sample data file (you can replace this)
├── logo.png             # Application icon (optional)
├── README.md            # This file
├── CLAUDE.md            # Development guide for AI assistants
└── rsconnect/           # Deployment configuration directory

🚀 Deployment

ShinyApps.io

The app is configured for deployment to ShinyApps.io:

1. Install rsconnect:

   install.packages("rsconnect")

2. Configure your account:

   rsconnect::setAccountInfo(name='youraccount', token='YOUR_TOKEN', secret='YOUR_SECRET')

3. Deploy:

   rsconnect::deployApp()

Adding New AI Providers

1. Edit ai_config.R:

   new_provider = list(
     provider_url = "https://api.example.com/v1",
     models = c("model1", "model2")
   )

2. Update UI choices:

   choices = c("modelscope" = "modelscope", "new_provider" = "new_provider")

Adding New Languages

1. Edit language.R: Add new language entry to the translations list
2. Update UI: Add new language button in ui.R (around lines 35-40)
3. Add Server Observers: Add language switching observers in server.R
4. Test Implementation: Verify all UI elements render correctly

Example language addition:

# In language.R
translations <- list(
  # ... existing languages
  es = list(
    app_title = "Seguimiento de peso",
    # ... more Spanish translations
  )
)

Customizing AI Prompts

Modify the AI suggestion prompt in server.R around lines 476-533 to customize the type of health advice provided. Note that prompts are language-specific.