RemindersApp is a modern Android application that reimagines task management by combining intuitive UI design with artificial intelligence. This mobile application allows users to create, organize,
and manage reminders while providing AI-generated suggestions to enhance productivity and task completion. Built with Jetpack Compose and following MVVM architecture with Clean Architecture
principles, the app demonstrates how AI integration can transform everyday productivity tools by offering contextually relevant suggestions based on reminder content.
Architecture & Technologies
- Platform: Native Android application written in Kotlin
- UI Framework: Jetpack Compose for modern, declarative UI
- Architecture Pattern: MVVM (Model-View-ViewModel) with Clean Architecture
- Dependency Injection: Hilt for maintainable and testable code
- Local Storage: Room Database for persistent data storage
- AI Integration: OpenAI API for generating contextual suggestions
- Background Processing: WorkManager for scheduling notifications
- Navigation: Jetpack Navigation Component for screen transitions
Core Components
- Data Layer:
- Room Database with DAOs for CRUD operations
- Repository pattern to abstract data sources
- Entity mappers to convert between domain and data models
- API service for OpenAI integration
- Domain Layer:
- Use cases encapsulating business logic
- Domain models representing core business entities
- Repository interfaces defining data operations
- Presentation Layer:
- ViewModels managing UI state and business logic
- Composable screens for user interface
- State management via StateFlow
Key Features Implementation
- Reminder Management:
- Create, edit, delete, and categorize reminders
- Support for due dates, priorities, and list categorization
- Filter reminders by type (Today, Scheduled, All, Favorites, Completed)
- AI-Powered Suggestions:
- Analyzes reminder content in real-time
- Generates contextually relevant suggestions based on the reminder text
- Implements intelligent ordering of suggestions from most specific to most generic
- Features gibberish detection to avoid generating suggestions for test inputs
- Automatic refreshing when reminder content changes
- Debounced API calls to optimize performance and reduce network usage
- Notification System:
- Scheduled reminders with notifications
- Persistent notification management even after device restart
- User-friendly permission handling
- Intelligent Task Management:
- The app transforms standard reminder creation into an intelligent process
- Users receive personalized, context-aware suggestions that help refine and improve their tasks
- Suggestions range from specific actions related to the reminder to broader productivity tips
- Streamlined Workflow:
- Clean, intuitive interface inspired by iOS design principles
- Minimalist yet powerful categorization and organizational tools
- One-tap access to common actions via the AccessoryBar component
- Productivity Improvements:
- AI suggestions help users think more clearly about their tasks
- Automated suggestion regeneration ensures relevance as tasks evolve
- Prioritization features help users focus on what matters most
Technical Achievements
- Efficient AI Integration:
- Optimized API usage through intelligent debouncing and caching
- Background processing for suggestion generation to maintain UI responsiveness
- Smart filtering to prevent unnecessary API calls for gibberish or test inputs
- Robust Architecture:
- Clear separation of concerns through Clean Architecture
- High maintainability through modular design
- Testable components at all layers of the architecture
- Modern Android Development:
- Full implementation in Jetpack Compose
- Kotlin Coroutines and Flow for reactive programming
- Hilt dependency injection for maintainable component relationships