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Travya — AI-Powered Travel Platform for Saudi Arabia
CompletedReactTypeScriptNode.js+3 more

Travya — AI-Powered Travel Platform for Saudi Arabia

An AI travel platform supporting Saudi Arabia’s Vision 2030 tourism goals — Top 25 Global Finalist among 500+ teams at an international hackathon.

Timeline

International hackathon

Role

AI Recommendation Engine & Backend Integration

Team

Group project

Status
Completed

Technology Stack

React
TypeScript
Node.js
AI Recommendations
Computer Vision
Vercel

Key Challenges

  • Turning user preferences into an actual itinerary
  • Splitting work across a team under a hackathon deadline
  • Supporting 50+ languages with real-time translation

Key Learnings

  • How to split work in a team and ship under a deadline
  • A working demo beats a feature list

Overview

Travya is an AI travel platform built to support Saudi Arabia's Vision 2030 tourism goals. It was a group project for an international hackathon, where it placed Top 25 Global Finalist out of 500+ teams.

Point your camera at any landmark and AI Lens recognises it instantly, with historical and cultural context. The AI plans personalised itineraries around your interests, time and budget, and smart hotel booking recommends where to stay. A gamified rewards system keeps travellers exploring, and everything works in 50+ languages with real-time translation.

My Role

I built the AI recommendation engine and the backend integration connecting it to the app — the part that turns a user's preferences into an actual itinerary.

Key Features

  • AI Lens — camera-based landmark recognition with rich historical and cultural context
  • Smart trip planning — AI-generated itineraries from interests, time and budget
  • Intelligent hotel booking with AI recommendations
  • Rewards and tier gamification — Explorer → Adventurer → Elite → Legend, unlocking 5% up to 20% booking discounts
  • 50+ languages with real-time translation
  • Business side — an analytics and booking dashboard for tourism SMEs

What I Learned

How to split work in a team and ship under a deadline — and that a working demo beats a feature list.

Links

Design & Developed by Mitang Hindocha
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