Case Study — Mobile

ParkSmart Finder

A real-time parking spot reservation and navigation mobile app using street camera feeds.

Project Overview

ParkSmart guides drivers to available parking locations within crowded city centers. Using computer vision alerts from street webcams, the system detects open slots, updates maps, and allows drivers to reserve spots.

Key Features & Scope

Real-time parking vacancy maps updating dynamically via WebSockets

GPS turn-by-turn navigation guided by Google Maps SDK

QR code validation scanner letting users enter parking garages instantly

Dynamic booking timers triggering parking overtime reminder warnings

System Architecture

Kotlin Android client communicating with a Node.js Express server. Real-time slot availability is managed via Socket.IO connections and spatial database calculations.

Client InterfaceReact Native / Expo
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Backend CoreNode.js / Express
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Database NodePostgreSQL with PostGIS extensions
Database: PostgreSQL with PostGIS extensions
Deployment: Google Play Store & Heroku
App Startup Time1.5s
JS Bundle Size7.2 MB
Crash-Free Rate99.94%
Render Frame Rate57 FPS
Verified Production Metrics
KotlinJetpack ComposeNode.jsSocket.IOPostgreSQLGoogle Maps

Keywords and concepts covered in this project case study:

ParkSmart Finder AndroidKotlin Jetpack Compose mapsSocket.IO real-time parking appPostGIS spatial parking query

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