This document outlines short-term and mid-term technical goals for Count-Cups development.
- Enhanced Accuracy: Improve heuristic detection accuracy through better calibration
- MediaPipe Integration: Complete MediaPipe detection engine implementation
- Performance Optimization: Reduce CPU usage during detection
- Multi-Camera Support: Support switching between multiple cameras
- Better Calibration UI: Streamlined calibration workflow
- Theme Refinements: Additional theme options and better theme switching
- Accessibility: Improved keyboard navigation and screen reader support
- Mobile Companion: Basic mobile app for quick manual entry
- Advanced Statistics: More detailed analytics and trend visualization
- Export Formats: Support JSON, Excel export formats
- Data Import: Import from Apple Health, Google Fit
- Backup/Restore: User data backup and restore functionality
- REST API: Local REST API for external integrations
- PWA Companion: Progressive Web App for cross-device access
- Cloud Sync: Optional cloud sync for multi-device usage
- Web Dashboard: Web-based dashboard for remote monitoring
- Machine Learning: ML-based detection improvements
- Gesture Recognition: Recognize different drinking gestures
- Smart Reminders: AI-powered reminder timing based on patterns
- Health Integration: Integration with health platforms (Apple HealthKit, Google Health Connect)
- Plugin System: Third-party plugin support
- API Documentation: Complete API documentation with examples
- Testing Coverage: Increase test coverage to 90%+
- CI/CD Pipeline: Automated testing and deployment
- User profiles and family mode
- Team features and shared goals
- Guest mode for temporary users
- Corporate dashboard
- Employee monitoring
- Compliance reporting
- Clinical studies partnership
- Medical device integration
- Open dataset for research
See CONTRIBUTING.md for how to contribute. Feature requests can be submitted via GitHub Issues.
Last Updated: March 12, 2026