Case Study — AI

Intelligent Travel Itinerary Planner

A personalized travel agent app that uses constraints (budget, interests, weather) to construct multi-day travel itineraries.

Project Overview

A smart mobile travel companion app. The user inputs their destination, length of stay, budget constraints, and active interests, and the app leverages AI to arrange flights, hotels, and a daily itinerary mapped on interactive maps.

Key Features & Scope

AI itinerary engine calculating optimal routes to prevent backtracking

Interactive travel mapping powered by Mapbox with offline maps support

Live local weather integrations altering suggested plans dynamically

Co-traveler sync letting multiple users collaborate on lists in real-time

System Architecture

Developed using React Native with Mapbox APIs. The optimization algorithms and AI requests are executed inside Next.js serverless API routes connected to Firebase Auth.

Client InterfaceNext.js / React
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Backend CoreNode.js / Express
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Database NodeFirebase Firestore
Database: Firebase Firestore
Deployment: Vercel & Google Cloud Functions
App Startup Time1.4s
JS Bundle Size6.2 MB
Crash-Free Rate99.96%
Render Frame Rate60 FPS
Verified Production Metrics
React NativeExpoMapboxNext.js APIOpenAI APIFirebaseTypeScript

Keywords and concepts covered in this project case study:

Intelligent Travel Planner AIExpo Mapbox travel routingReact Native AI itinerary plannerFirebase Firestore real-time trip planner

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