Designing a Personalized AI Travel Assistant

Designing a Personalized AI Travel Assistant

A side project for Stanford’s AI UX Design Essentials certificate focused on designing a generative AI-powered travel assistant that personalizes recommendations based on individual preferences while maintaining transparency and ethical data usage.

A side project for Stanford’s AI UX Design Essentials certificate focused on designing a generative AI-powered travel assistant that personalizes recommendations based on individual preferences while maintaining transparency and ethical data usage.

My role

UX Research, AI Experience Designer, Ethics & Society Reviewer (ESR)

Scope

Conceptual design and MVP development

Duration

Weeks

Collaborating teams

Figma (design and prototyping), Gen AI Tools, ESR framework

Platform

Web, Mobile

Problem Statement

Problem Statement

Problem Statement

Travel planning today is fragmented, impersonal, and exhausting. While there are countless tools for booking flights, accommodations, and activities, they rarely work together and they don’t adapt to you.Some travelers want structure. Others want spontaneity. Many want culturally immersive experiences but today’s tools offer rigid templates, not flexibility. Travel apps often fall short due to lack of personalization, while human agents can’t scale or specialize.

So I asked:

How might we create a personalized, flexible, and specialized trip planning tool through user data and conversational interaction while addressing ethical concerns around data privacy, bias, and user agency?

Outcomes

Outcomes

Outcomes

Reduces planning complexity

Reduces planning complexity

By centralizing information and decisions

Learns user preferences

Learns user preferences

Through real behavior and feedback

Transparency

Transparency

Through explaining its suggestions to earn trust and encourage adoption

Ethical guardrails in the use of AI

Ethical guardrails in the use of AI

Profile is generated from user’s past behavior

Profile is generated from user’s past behavior

Ethics & Society Review (ESR) Analysis

Ethics & Society Review (ESR) Analysis