CaffeineHealth

Introduction: Track your caffeine. Protect your sleep. A privacy-first Material 3 Expressive Android app that shows your active caffeine level in real time and tells you if that late espresso will cost you tonight.

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Caffeine Health

Track your caffeine. Protect your sleep.

Caffeine Health is a beautifully designed Android app that helps you understand how your caffeine intake affects your body throughout the day, and whether that late-afternoon espresso might cost you sleep tonight.

Log drinks from a curated catalog, watch your active caffeine level in real time on a 24-hour curve, and get a personalized sleep forecast based on your unique metabolism.

_Welcome

_Onboarding

_Dashboard

_{Source Analytics}

✨ Features

🏠 Dashboard

Live caffeine curve: a smooth 24-hour chart showing your active caffeine level, updated in real time
Emoji markers: each logged drink appears on the chart with its emoji for quick visual reference
Sleep forecast: see how much caffeine will still be active at your bedtime and whether it crosses your safe threshold
Today's total: at-a-glance milligram count for everything consumed today
Drink detail sheet: tap any logged drink to see its contribution curve, peak level, current level, and total impact over time
Quick actions: edit, duplicate, or delete entries directly from the detail sheet

☕ Drink Catalog

Curated drink database: browse drinks across categories like coffee, tea, energy drinks, soda, and more
Search & filter: Material 3 search bar with expressive category filter chips
One-tap logging: log a drink with a single tap and get snackbar confirmation
Custom serving sizes: adjust caffeine amount and timing before logging

🧬 Personalized Onboarding

Guided profiling flow: set your age range, weight, bedtime, sleep sensitivity, lifestyle factors, and relevant medications
Pharmacokinetic modeling: the app calculates a personalized caffeine half-life based on real-world factors (smoking, alcohol, CYP1A2 inhibitors)
Science-backed sources: every lifestyle adjustment links to its pharmacological source
Skip-friendly: sensible defaults if you prefer to get started immediately

⚙️ Settings

Half-life tuning: fine-tune your caffeine metabolism rate
Bedtime configuration: set your typical sleep time for accurate forecasts
Sleep threshold: define the milligram level you consider safe before bed
Appearance: theme and display preferences
Date & time format: 12-hour / 24-hour clock, date format customization

🏗️ Architecture

com.uc.caffeine
├── MainActivity.kt          # Root scaffold, bottom nav, Navigation 3
├── MainNavigation.kt        # Navigation destinations
├── data/
│   ├── model/               # Room entities (DrinkPreset, ConsumptionEntry, DrinkUnit)
│   ├── dao/                 # Room DAOs
│   ├── CaffeineDatabase.kt  # Room database with JSON preset seeding
│   ├── SettingsRepository.kt # DataStore-backed user preferences
│   └── UserSettings.kt      # Settings data class
├── ui/
│   ├── screens/
│   │   ├── HomeScreen.kt     # Dashboard with chart, sleep forecast, log
│   │   ├── AddScreen.kt      # Drink catalog with search & filter
│   │   └── settings/         # Settings sub-screens (appearance, profile, etc.)
│   ├── components/           # Reusable UI: chart, scaffold, haptics, shimmer
│   ├── onboarding/           # Multi-step profiling flow
│   ├── theme/                # Material 3 color scheme, Montserrat typography
│   └── viewmodel/            # Shared CaffeineViewModel (MVVM)
└── util/
    ├── CaffeineCalculator.kt # One-compartment pharmacokinetic model
    ├── ChartDataGenerator.kt # 24-hour curve + contribution chart data
    └── CategoryUtils.kt     # Drink category helpers & icons

The app follows a single-activity MVVM pattern:

Layer	Responsibility
View	Jetpack Compose screens + reusable components
ViewModel	`CaffeineViewModel` - shared state, actions, caffeine math orchestration
Data	Room database for drinks & entries, DataStore for user settings
Util	Pure calculation logic (pharmacokinetics, chart data generation)

🧪 Tech Stack

Component	Technology
Language	Kotlin
UI Framework	Jetpack Compose
Design System	Material 3 with Expressive motion
Navigation	Navigation 3
Local Database	Room
Preferences	DataStore
Charts	Vico (Compose + M3 theming)
Image Loading	Coil 3
Typography	Montserrat (Google Fonts)
Min SDK	31 (Android 12)
Target SDK	36

🔬 Caffeine Science

The app uses a one-compartment oral pharmacokinetic model:

Absorption phase: linear ramp from ingestion to peak based on drink-specific absorption rate
Elimination phase: exponential decay governed by your personal half-life setting
Half-life personalization: computed from age, weight, smoking, alcohol, liver health, and CYP1A2-inhibiting medications during onboarding

This keeps the curve and sleep forecast grounded in real pharmacology while remaining practical for daily use.

🚀 Getting Started

Prerequisites

Android Studio Ladybug (2024.3) or newer
JDK 11+
Android SDK 36 installed via SDK Manager

Build & Run

# Clone the repository
git clone https://github.com/ohuc/CaffeineHealth.git
cd CaffeineHealth

# Open in Android Studio and sync Gradle, or build from CLI:
./gradlew assembleDebug

# Install on a connected device / emulator:
./gradlew installDebug

Note: The app requires Android 12 (API 31) or higher. compileSdk targets API 36 - use an emulator with API 31+ to run it.

Project Structure

CaffeineHealth/
├── app/                    # Main application module
│   ├── src/main/
│   │   ├── assets/         # Drink preset JSON database
│   │   ├── java/           # Kotlin source code
│   │   └── res/            # Resources (drawables, fonts, values)
│   └── build.gradle.kts    # App-level dependencies
├── build.gradle.kts        # Project-level config
├── settings.gradle.kts     # Module includes
└── gradle/                 # Gradle wrapper & version catalog

🎨 Design

Caffeine Health is built with Material 3 Expressive principles:

Dynamic Color: adapts to your device wallpaper on Android 12+ with a curated espresso-toned fallback palette
Expressive Motion: MotionScheme.expressive() for fluid, personality-rich transitions
Montserrat typography: clean, modern font family throughout the entire app
Haptic feedback: tactile responses on key interactions across dashboard, catalog, and settings
Dark mode: full dark theme support with carefully tuned surface/container colors

🤝 Contributing

Contributions are welcome! Here's how to get started:

Fork the repository
Create a feature branch: git checkout -b feature/amazing-feature
Commit your changes: git commit -m 'Add amazing feature'
Push to the branch: git push origin feature/amazing-feature
Open a Pull Request

Guidelines

Follow existing code style and architecture patterns
Keep the shared ViewModel pattern - avoid per-screen ViewModels unless there's a strong reason
Use Material 3 components and the app's existing design tokens
Test on API 31+ emulator before submitting