Project Goal
Validate whether a visual, swipe-led journey could increase user engagement and affiliate-driven travel conversions.
An AI-powered, swipe-based platform for discovering vacation packages that match each traveler's preferences.
Travel Match replaces endless lists of generic packages with a visual swipe interface. Users respond to image and text prompts, while AI converts those signals into a travel profile and recommends relevant, affiliate-linked vacation packages.
Visit Website Back To WorkValidate whether a visual, swipe-led journey could increase user engagement and affiliate-driven travel conversions.
Make preference capture quick and intuitive, then clearly explain why each vacation package is a strong match.
Store swipe events in Supabase, generate travel profiles with GPT-4, and match them against structured package metadata.
Traditional booking tools often create decision fatigue by forcing travelers to filter long, repetitive lists. Travel Match makes the process feel like discovery: each swipe contributes to a richer preference profile, and every result connects those preferences to a concrete vacation offer.
The core interaction captures the user's travel style through visual and text-based prompts without making the onboarding experience feel like a lengthy questionnaire.
GPT-4 turns swipe behavior into a readable travel profile, which is evaluated against structured tour package data to produce relevant, actionable recommendations.