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Travel Match

6 monthsWeb App
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About this project

Traditional travel booking often feels like a chore, with users forced to scroll through endless lists of generic vacation packages that don't truly capture their personal style or mood. Finding the perfect getaway usually requires cross-referencing multiple sites and manually filtering through noise, which often leads to decision fatigue rather than excitement for the trip. To solve this, we built Travel Match, a swipe-based travel discovery platform that turns the search for a vacation into an engaging, visual experience. The platform uses AI to bridge the gap between abstract travel desires and concrete package recommendations. Users interact with the platform through visual and text-based prompts, while the AI analyzes their preferences to build a personalized travel profile. Through an intuitive 'swipe-to-match' interface, the system presents curated vacation packages that align with the user's aesthetic and functional goals. The MVP is built on structured tour package metadata and AI-generated profiles, ensuring every match is relevant and actionable. The result is a highly engaging discovery engine that has validated a new way for travelers to connect with their next adventure. By prioritizing visual intuition and AI-driven personalization, Travel Match has successfully increased user engagement and affiliate-driven conversions, making travel planning feel more like a discovery and less like work.

Tech Stack
ReactTypeScriptTailwindNode.jsMongoDB
Project Info
ClientJason Charvet
Timeline6 months
CategoryWeb & Mobile Apps
TypeWeb App
Key Capabilities
  • Profile creation
  • Trip creation & matching
  • In-app messaging
  • Trip suggestions & notifications
  • Review & rating system
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