Building an AI Recommendation Engine For a Travel Startup

I helped an early stag AI Travel startup (travvel.ai) create an AI recommendation engine. The goal was to provide personalized travel destinations and itineraries based on a user's described preferences. By leveraging Python, OpenAI, and Langchain, I successfully developed the core of their product.

The final outcome was an AI recommendation engine that seamlessly provided appropriate and useful recommendations for users' travel destinations and itineraries that were personalized to the user based on their text input.

Through iterative development and fine-tuning of the OpenAI prompts, we were able to overcome many challenges related to edge cases and ensure the suggestions were valuable and reflective of what the brand wanted to provide to users.

Working on this project allowed me to combine my expertise in AI technologies with my passion for travel. The success of the recommendation engine demonstrated its value in enhancing user experience by providing personalized suggestions.