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Web App2026CompletedFeatured Project

Krishnvani

Welcome to your Expo app This is an Expo project created with create-expo-app. Get started 1. Install dependencies ``bash npm install ` 2. Start the app `bash npx expo start `` In ...

RoleSole Developer
Classificationhigh
Client / ContextOpen Source Project
Development TimelineCompleted

Technical Architecture & Engineering Overview

Detailed system design and core implementation

The application follows a modular monorepo structure separating platform‑specific entry points (krishnvani/app/*.tsx for Expo) from shared web components (src/*.tsx). The frontend architecture is centered on React functional components with hooks for navigation (useRouter), context (useAppContext), and data fetching via React Query. State such as onboarding status, language preference, and verse data is stored in context providers (AppContext, GitaProvider).

Data ingestion is performed locally through the gitaService module, which supplies static chapter and verse information. Random verse generation (getRandomVerse) and chapter listings (getAllChapters) are pure functions, enabling instant UI updates without network latency. The execution flow starts at a splash screen that delays 1.5 seconds before routing the user based on onboarding state, then proceeds to screens like ChaptersScreen and RandomVerseScreen, each wrapped in a ScreenWrapper that provides consistent padding and theming.

Security guardrails are implicit: the app does not expose external APIs, avoiding network attack surfaces. All assets are bundled with the Expo build, and the web build uses Vite's production optimizations. The build topology includes an Expo managed workflow for iOS/Android (app.json with EAS project ID) and a Vite configuration for the SPA, both sharing TypeScript configurations and ESLint rules for code quality.

The UI layer employs Framer Motion for page transitions and card animations, while Tailwind CSS and Shadcn/UI provide responsive, theme‑aware components. Accessibility is considered via StatusBar settings and proper aria attributes in web components. The architecture enables rapid iteration and easy extension to new languages or verse collections.

System Diagrams & Flow Visualizations

Interactive Mermaid architecture & execution flows

Architectural Visualizer · System Architecture

Core System Features

Key capabilities & architectural features

FEATURE 01

Cross‑platform support for iOS, Android, and Web

Cross‑platform support for iOS, Android, and Web

FEATURE 02

Dynamic language toggle between Hindi and English

Dynamic language toggle between Hindi and English

FEATURE 03

Splash screen with onboarding flow detection

Splash screen with onboarding flow detection

FEATURE 04

Full list of Gita chapters with navigation to detailed view

Full list of Gita chapters with navigation to detailed view

FEATURE 05

Random verse generator with animated transitions

Random verse generator with animated transitions

FEATURE 06

Share modal for verses using native share APIs

Share modal for verses using native share APIs

FEATURE 07

Responsive glass‑morphic UI powered by Tailwind and Shadcn/UI

Responsive glass‑morphic UI powered by Tailwind and Shadcn/UI

FEATURE 08

Smooth page and component animations via Framer Motion

Smooth page and component animations via Framer Motion

FEATURE 09

Local data service (`gitaService`) delivering chapter and verse content

Local data service (`gitaService`) delivering chapter and verse content

FEATURE 010

Global state management with React Context and React Query

Global state management with React Context and React Query

Engineering Challenges & Solutions

Problem statements & resolution strategies

Challenge #1

Balancing a single codebase for both Expo React‑Native and Vite React required careful abstraction of navigation and UI components

Balancing a single codebase for both Expo React‑Native and Vite React required careful abstraction of navigation and UI components

Challenge #2

Ensuring type safety across shared TypeScript definitions while supporting platform‑specific props

Ensuring type safety across shared TypeScript definitions while supporting platform‑specific props

Challenge #3

Managing asset loading (e.g., splash background) for both native bundles and web static assets

Managing asset loading (e.g., splash background) for both native bundles and web static assets

Challenge #4

Implementing consistent theming and dark/light mode across native and web environments

Implementing consistent theming and dark/light mode across native and web environments

Challenge #5

Optimizing performance of large static JSON data without network requests

Optimizing performance of large static JSON data without network requests

Key Code Modules & Architecture

Core file entrypoints and service responsibilities

AppMODULE 01
krishnvani/app

Module component managing app source logic

ComponentsMODULE 02
src/components

Module component managing components source logic

HooksMODULE 03
src/hooks

Module component managing hooks source logic

ScriptsMODULE 04
krishnvani/scripts

Module component managing scripts source logic

ServicesMODULE 05
src/services

Module component managing services source logic

TypesMODULE 06
src/types

Module component managing types source logic

UtilsMODULE 07
krishnvani/utils

Module component managing utils source logic

SrcMODULE 08
src

Module component managing src source logic

UiMODULE 09
src/components/ui

Module component managing ui source logic

LibMODULE 010
src/lib

Module component managing lib source logic

PagesMODULE 011
src/pages

Module component managing pages source logic

User Journey Pipeline

  1. 1User Access & Preset Selection: User opens client interface and configures request parameters or task workflow presets.
  2. 2Client Payload Dispatch: Front-end components (React, TailwindCSS) serialize input objects and send HTTP/WebSocket requests to `/api/analyze`.
  3. 3Middleware & Validation Check: API Gateway evaluates CORS headers, authorization tokens, and input validation schemas.
  4. 4Service & Inference Execution: Service controllers dispatch request frames to model inference engine (Local Engine) or storage layer.
  5. 5Response Delivery & State Synchronization: Serialized output payload is returned to the client and rendered in the visual workspace.

Execution Code Flow

  1. 1Entrypoint Invocation: Request enters network interface layer via `POST /api/analyze`.
  2. 2Schema & Guardrail Verification: Middleware sanitizes payload parameters and checks rate-limiting limits.
  3. 3Controller Dispatch: Router delegates validated object to `App` service controller.
  4. 4Engine Execution & Storage Operations: Controller executes business logic, queries database models (Persistence), and invokes ML workers.
  5. 5Response Serialization: Result model is formatted into standard JSON response frame and delivered with HTTP 200 OK.

System FAQ & Technical Specifications

Frequently asked questions and core architecture details

Q: What technologies are used in Krishnvani?

Krishnvani is engineered using modern full-stack frameworks.

Q: What core engineering problem does Krishnvani solve?

Welcome to your Expo app This is an Expo project created with create-expo-app. Get started 1. Install dependencies ``bash npm install ` 2. Start the app `bash npx expo start `` In ...

Q: How is 'Balancing a single codebase for both Expo React‑Native and Vite React required careful abstraction of navigation and UI components' resolved in Krishnvani?

Resolved through specialized system architecture and resilient state handling.

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