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Track. Analyze. Level Up.
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|---|---|---|---|
| Dashboard | Outdoor Run | Gym Work | History |
FitLog treats your body like a system with telemetry.
Most fitness apps show you numbers. FitLog gives you states — your step count is a Core Energy level, your streak is a signal, your week is a performance scan. The entire interface is built around a cyberpunk/technical aesthetic: particle backgrounds, streak orbs, and data-driven animations that respond to your actual behavior.
It's offline-first, zero-ads, and 100% private. Your health data stays on your device.
| Feature | Description |
|---|---|
| Weight Tracking Pro | Full evolution module with auto-compressing charts + real-time BMI calculation |
| Smart PDF Reports | Export your entire activity history as a professional document, on-device |
| Precision Timers | SystemClock-based chronometers — accurate even when screen is locked |
| Dynamic Leveling | Profile level (Beginner → Intermediate → Pro) recalculates automatically from your goals |
| Cloud Version Sync | Firebase Realtime Database notifies you instantly when a new version drops |
FitLog's streak engine goes beyond simple day counting.
- Consecutive day tracking based on daily step goal completion
- Grace Period: Miss one day → streak freezes. Miss two → streak resets. No brutal punishments for human life
- Level Up Animation: Full-screen
SyncLevelUpScreenwith a technical orb that celebrates every streak increment
Your health state at a glance, rendered as live data:
- Native hardware step counter — ultra-low battery via sensor fusion
- Weekly activity grid — visual consistency scan across 7 days
- Real-time metrics — steps, calories, and distance in a single unified interface
- Glassmorphism UI — semi-transparent panels, vivid gradients, smooth Compose animations
Professional-grade session engine for walking, running, and cycling:
- Real-time GPS tracking with distance, pace, and calorie output
- MET-based calorie algorithm — factors in your weight, age, and live GPS speed for genuine accuracy (not estimations)
- Persistent Workout Card — a live notification on the lock screen and status bar showing timer + metrics without opening the app
- Auto-save — sessions are indexed into history on completion
A robust dual-mode logger:
Solo Mode — manual logging of exercises, sets, reps, and weight (Kg or Lb)
Protocol Mode (Guided) — a structured 5-day split:
| Day | Focus | Supports |
|---|---|---|
| Day 1 | Push | Gym + Home |
| Day 2 | Pull | Gym + Home |
| Day 3 | Legs | Gym + Home |
| Day 4 | Upper | Gym + Home |
| Day 5 | Full Body | Gym + Home |
- Rest Timer with dynamic
+15sextension — tap to breathe - Expandable Exercise Cards — clean layout that handles long exercise names without UI breakage
- Evolution chart — auto-compresses as data accumulates, always readable
- BMI analysis with visual scale: Underweight / Normal / Overweight / Obese
- Timestamped history — every entry logged for long-term trend analysis
Smart alerts that respond to your actual progress, not just the clock:
| Trigger | Alert Type |
|---|---|
| Goal at 50% | Progress nudge |
| Goal at 90% | Final push notification |
| 9:00 PM, goal unmet | Critical level alert |
| Training reminder | Persistent alarm-style notification |
All notifications are setExactAndAllowWhileIdle — they fire even in Doze mode.
- Smart filters: Day / Week / Month / All Time
- PDF export: Clean structured report for coaches, logs, or personal records
- Bilingual: Fully localized in English and Español
- Unlockable achievements based on streak milestones
- Badges for total volume lifted across all gym sessions
- Weekly performance dashboard with telemetry-style data graphs
FitLog is built on Modular Clean Architecture following Google's official recommendations, with full separation between layers and features:
fitlog/
├── app/ → MainActivity, NavHost, Hilt setup, permission orchestration
│ Launches StepCounterService (Foreground, API 34+ compliant)
│
├── core/
│ ├── database/ → Room DB — profiles, gym sessions, runs, goals
│ │ Schema migrations v5 → v6 with full data integrity
│ ├── datastore/ → User preferences (theme, units, notification flags)
│ ├── domain/ → Pure business logic — UseCases, repository interfaces
│ ├── model/ → Shared data models across all modules
│ ├── network/ → Firebase Realtime Database sync layer
│ ├── ui/ → Design system: theme, typography, custom icons, strings
│ └── notification/ → Alert engine, AlarmManager workers
│
└── feature/
├── dashboard/ → Core telemetry view, step tracking, streak orb
├── gymwork/ → Solo + Protocol modes, rest timer
├── outdoorrun/ → GPS tracking, MET calorie engine
├── onboarding/ → Profile setup, unit system, dynamic leveling
├── weight/ → BMI module, evolution chart
├── history/ → Filters, PDF export
└── settings/ → Theme, language, notifications, profile
Data flow:
Compose UI ──► ViewModel (StateFlow) ──► UseCase ──► Repository
▲ │
└──────────── Flow ◄──────────────────┘
│
Room ─────┴───── Firebase
State management pattern: MVI/MVVM hybrid — each feature exposes a sealed UiState consumed via collectAsStateWithLifecycle.
Language Kotlin 2.1.0
UI Jetpack Compose + Material 3
State StateFlow + MVI UiState pattern
DI Dagger Hilt + KSP
Local DB Room (migrations v5→v6)
Preferences DataStore
Background Foreground Service (step counter, API 34+)
Alarms AlarmManager — setExactAndAllowWhileIdle
Cloud Firebase Realtime Database
Build ProGuard/R8 with custom rules
Localization English + Español
- Offline-first — all health data lives on your device
- Zero ads — no trackers, no banners, no distractions
- Battery optimized — hardware sensor fusion for step counting, smart service lifecycle
- ProGuard/R8 — code shrinking and obfuscation without compromising stability
- Android Studio Hedgehog or later
- JDK 17
- Android SDK 26+ (target: 34)
git clone https://github.com/saicojavc/fitlog.git
cd fitlogOpen in Android Studio, sync Gradle, and run on a device or emulator (API 26+).
Note: GPS tracking and step counting require a physical device for full functionality.
- Weight tracking + BMI module
- PDF export engine
- Protocol gym mode (5-day split)
- Grace-period streak system
- MET-based calorie calculation
- Weekly telemetry graphs (performance dashboard)
- Achievement system (streaks + volume milestones)
- WearOS sync
- Gemini API — AI-powered weekly performance summary