Project

Tiryaq v2

Diabetes Management Without the Mental Math

SQLite React Native Expo Nativewind

1. The Philosophy

Automating metabolic logic to substitute constant clinical anxiety with deterministic, silent guardrails.

Managing Type 1 Diabetes demands continuous, flawless mathematical calculations under conditions of physical and mental fatigue. Tiryaq is a high-resilience mobile application engineered to automate insulin-to-carbohydrate ratios, track dosage metrics, and enforce strict schedule boundaries. It handles these calculations entirely on-device, preserving data absolute privacy and local autonomy.

2. The Technical Breakdown

A. The Multi-Layer Food Database & Meal Composition Engine

Decoupled Schema Hierarchy: Built on an optimized local SQLite database structured in a three-layer relational schema to isolate baseline food compositions, meal aggregates, and historical transactional logging.
Predictive Calculation Matrix: Converts highly fluid meal inputs into exact nutritional weights on-the-fly, generating immediate, deterministic insulin dosage recommendations based on user-specific sensitivity constants. This eliminates computational human error during critical injection windows.

B. High-Resilience Scheduling & Temporal Automation

Time-Shift Rescheduling Logic: Real-world biological schedules are highly dynamic. The core engine implements custom time-shift logic that smoothly reschedules dependent alarms, calibration reminders, and nutritional intake intervals based on current, live metabolic drift.
Native Foreground Subsystems: To ensure 100% notification reliability that bypasses standard Android OS aggressive battery-throttling profiles, the application utilizes a native Android AlarmManager bridge bound to dedicated foreground services. This guarantees that critical alarms fire exactly on time, independent of host-device sleep states.

C. Local-First Ingestion & High-Density UI

Zero-Latency Data Ingestion: Utilizing a customized, amber-toned Gluestack-UI implementation, the front-end is stripped of visual clutter to maximize rapid data input. The focus is entirely on extreme legibility and rapid tap-targets for quick entry under low-blood-sugar or disoriented cognitive states.
Isolated Local Telemetry: Eradicates cloud dependency for critical operations. Analytical reporting engines process local transactional ledgers instantly to generate structural, PDF-exportable trend logs directly from on-device storage.