BrainBuddy: AI-Powered Task Scheduler

Overview

BrainBuddy is an innovative task scheduling mobile application that leverages AI algorithms to create personalized daily schedules. By understanding your unique productivity patterns, energy levels throughout the day, and task characteristics, BrainBuddy transforms overwhelming to-do lists into achievable, optimized daily plans that work with your natural rhythms, not against them.

App Splash Screen

Video Trailer

The Challenge

Traditional task management apps treat all hours of the day equally, ignoring the fact that our cognitive abilities and energy levels fluctuate throughout the day. Most people struggle with:

Scheduling complex tasks during low-energy periods
Overwhelming to-do lists with no clear prioritization
Static schedules that don’t adapt to their productivity patterns
Decision fatigue when choosing what to work on next

My goal was to create an intelligent system that learns from user behavior and automatically generates optimal schedules, making productivity effortless and personalized.

Key Features

🧠 AI-Powered Schedule Generation

The app’s core innovation lies in its sophisticated scheduling algorithm that:

Scores tasks based on urgency, difficulty, and deadlines
Matches task complexity with your peak performance times
Generates three unique schedule options: Priority-based, Balanced, and Grouped
Learns and adapts from your task completion patterns

Schedule Options Screen

⏰ Smart Time Management

Onboarding Quiz: Understands your productivity preferences from day one
Time Block Allocation: Respects your available morning and evening hours
Adaptive Scheduling: Updates productivity factors based on real completion data
Deadline Intelligence: Prioritizes tasks with approaching deadlines

📊 Comprehensive Task Attributes

Each task is characterized by:

Urgency (1-5 scale): How time-sensitive is this task?
Difficulty (1-5 scale): How mentally demanding is this task?
Duration: Estimated time to complete
Tags: Categorization for better organization
Recurrence: Support for daily, weekly, and monthly recurring tasks

Task Details Screen

🔔 Intelligent Notifications

Morning and evening reminders at customizable times
Task-specific notifications
Break reminders during focus sessions
Smart notification scheduling that respects your preferences

🎯 Focus Timer

Built-in Pomodoro-style timer that:

Tracks time spent on each task
Provides break reminders
Plays ambient sounds for better concentration
Integrates with task completion tracking

Presentation Overview

Software Engineering Excellence

📱 Architecture & Design Patterns

Clean Architecture: Clear separation between UI, business logic, and data layers
Service Layer Pattern: Modular services for authentication, scheduling, notifications, and preferences
Repository Pattern: Abstracted data access through dedicated service classes
Observer Pattern: Real-time UI updates using Firebase listeners

🏗️ Technical Implementation

Advanced Scheduling Algorithm

// Sophisticated task scoring based on multiple factors
export function calculateTaskScore(
  task: Task,
  userPrefs: UserPreferences,
  timeOfDay: TimeOfDay
): number {
  const urgencyScore = task.urgency * URGENCY_WEIGHT;
  const alignmentScore = calculateAlignmentScore(task.difficulty, userPrefs, timeOfDay);
  const deadlineScore = calculateDeadlineScore(task.deadline);
  
  return urgencyScore * 0.45 + alignmentScore * 0.35 + deadlineScore * 0.20;
}

The algorithm considers:

Task urgency and deadline proximity
User’s productivity patterns for different times of day
Task difficulty alignment with energy levels
Category balancing for variety

State Management & Performance

React Context API: Efficient global state management
Custom Hooks: Reusable logic for authentication, tasks, and preferences
Memoization: Optimized re-renders for complex schedule calculations
Lazy Loading: Improved initial load times with code splitting

🔥 Firebase Integration

Comprehensive use of Firebase services:

Authentication: Email/password with secure session management
Firestore: Real-time database with offline support
Cloud Functions: Server-side logic for complex operations
Performance Monitoring: Track app performance metrics

🧪 Testing & Quality Assurance

Unit Tests: Jest testing for algorithms and utilities
Integration Tests: Service layer testing with mocked Firebase
Type Safety: Full TypeScript coverage preventing runtime errors
Error Boundaries: Graceful error handling throughout the app

Technical Challenges & Solutions

Challenge: Schedule Generation Performance

Generating three unique, optimized schedules for dozens of tasks could be computationally expensive.

Solution: Implemented efficient sorting algorithms, memoization for score calculations, and introduced controlled randomness to ensure schedule variety without repeated calculations.

Challenge: Learning User Patterns

Accurately adapting to user productivity patterns without overwhelming them with questions.

Solution: Developed a feedback learning system that subtly adjusts productivity factors based on actual task completion times, using exponential moving averages for smooth adaptation.

Challenge: Notification Reliability

Ensuring notifications work consistently across different Android versions and iOS.

Solution: Implemented a robust notification system using Expo’s notification API with fallback mechanisms and comprehensive error handling.

Screenshots Gallery

Technologies Used

React Native & Expo: Cross-platform mobile development
TypeScript: Type-safe code with better developer experience
Firebase Suite: Authentication, Firestore, Cloud Functions
React Navigation: Smooth navigation with stack and tab navigators
React Native Reanimated: Smooth, high-performance animations
Async Storage: Local data persistence
Date-fns: Efficient date manipulation
Lottie: Beautiful loading animations

Conclusion

BrainBuddy represents a paradigm shift in task management, moving beyond simple to-do lists to intelligent, personalized productivity optimization. By combining thoughtful UX design with sophisticated algorithms, the app demonstrates how AI can enhance daily productivity in a meaningful, user-centric way.

This project showcases my ability to:

Design and implement complex algorithms
Build performant, user-friendly mobile applications
Integrate multiple services into a cohesive system
Apply AI/ML concepts to solve real-world problems
Create scalable, maintainable code architectures

The success of BrainBuddy lies not just in its technical implementation, but in its deep understanding of human productivity patterns and its ability to adapt to individual users’ needs.

BrainBuddy - ADHD Task Scheduler