Mobile PWA

Rukaya AI

A native-like, zero-network offline Progressive Web Application (PWA) and AI spiritual companion.

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Production Metrics & KPIs

Validated System Telemetry

100%Offline Capability
<0.8sFirst Contentful Paint
100PWA Lighthouse Score

Problem Statement & Scope

The Architectural Vector

Engineered Rukaya AI into a resilient, native-like mobile web application operating on a "True Offline" architecture. Leveraging Service Workers and IndexedDB client caching, the system provides zero-network availability for prayer timetables, an offline AI conversation loop, and haptic-responsive counter tools.

3 Deep Technical Challenges Overcome

CHALLENGE 01

Architecting a robust cache-first Service Worker lifecycle ensuring seamless operation during total offline state.

CHALLENGE 02

High-precision solar prayer time mathematical calculations running client-side with zero battery drain.

CHALLENGE 03

Simulating native mobile gesture responsiveness and vibration feedback on both iOS Safari and Android Chrome.

System Design Breakdown

Architecture Specifications & Hardware Primitives

State Management & Rendering

IndexedDB offline persistent store + React 19 Client hooks

Caching & CDN Layer

Service Worker Cache API (Stale-While-Revalidate) + Zero-network fallback

Database & Ingestion Layer

Client-side IndexedDB with async schema migrations & solar mathematical computations

Security & Authentication Protocol

Zero-tracking architecture, localized cryptographic storage & CSP strict sandboxing

TypeScript
Next.js App Router
Service Workers
IndexedDB
Tailwind CSS
Web Audio API
Production Outcome 01

Deployed live at rukaya.zhovon.com with full offline installation capability.

Production Outcome 02

Achieved sub-second cold boot load times and zero network runtime dependencies.

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