The world is full of tourist destinations to explore. Yet, with the abundance of travel websites and apps, finding a destination that fits the users’ personalities and travel interests can be difficult. On popular platforms (i.e. Trivago, Expedia), travel searches are location-based, so users must enter a destination to find hotel and activity suggestions. This can lead users to miss out on new destinations that match their travelling style. PathFindr solves this problem by approaching travel planning from an interest-based perspective. This website allows users to choose from a wide selection of features they look for in their trip, such as food, culture, adventure, and more. Then, the website uses ChatGPT to suggest destinations that fit the user’s criteria and a brief description of each city. Briefly said PathFindr enhances the travelling experience by building personalized travel plans for users.
Built With
- next.js
- openai
- react
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