Pargo Productivity App using ML (Pomodoro + Time Blocking)

Project Objective

Ship a smart time blocking app for Android that blends Pomodoro focus cycles with calendar-like blocks and ML-driven coaching. The app reduces procrastination by converting tasks into timed sessions, nudging you at the right moments, and summarizing progress with visual analytics.

How It Works

1. Plan Blocks: Create time blocks (task, start, duration, priority). Quick templates for study, coding, revision, etc.
2. Focus: Start a Pomodoro (e.g., 25/5) with optional focus music. Auto long breaks after N cycles.
3. Track: The app logs cycles, interruptions, and completion status. Streaks and badges keep you motivated.
4. Learn (ML): Personalized suggestions for session length and break timing based on your history and outcomes.
5. Sync & Share: Data persists with Firebase; export summaries for reports and submissions.

Project Modules

Key Features & Benefits

• Beat procrastination by turning tasks into timed blocks.
• Stay focused with Pomodoro cycles and calming music.
• Improve over time with ML recommendations and streaks.
• Privacy-aware with role-based access and minimal PII.
• Offline-first timers; sync when back online.

Android Integration Sketch (Java/XML)

// PSEUDO-CODE (illustrative, no Firebase JSON)

// TimerViewModel.java
class TimerViewModel extends ViewModel {
  MutableLiveData state;
  void startPomodoro(int focusMin, int breakMin){
    // Start countdown (WorkManager/CountDownTimer)
    // Emit tick events each second; handle auto-break transitions
  }
  void pauseOrResume(){ /* toggle */ }
  void completeCycle(){
    // Log cycle result; update streaks & analytics
  }
}

// BlockRepository.java
List getBlocksForDay(LocalDate date){
  // Read from local cache; if online, merge with backend
}
void saveBlock(Block b){ /* persist */ }
void reorderBlocks(List blocks){ /* write order */ }

// MLRecommender.kt (or .java)
Recommendation suggest(SessionHistory hist){
  // Features: session length, completion rate, time-of-day
  // Simple model: moving averages + rules (or plug TFLite)
  // Output: focusLen, breakLen, suggested start times
}

// MusicService.java
void play(Track t){ /* MediaPlayer with loop control */ }
void stop(){ /* gracefully release */ }

// Notifications
// - Reminders for upcoming blocks
// - End-of-focus alerts
// - Daily summary with streaks & suggestions
              

What You Get