Portfolio

A core feature of the Yeti to Eat app. This function instantly selects a restaurant based on user preferences and past behavior, streamlining the decision-making process for quick and enjoyable meals.

Embraces the app's unique 'Yeti' persona to guide users through dining decisions, making the process feel intuitive and guided by an internal, helpful decision-maker.

Leverages user preferences and behavioral data to continuously refine and improve restaurant suggestions over time, ensuring increasingly relevant and satisfying dining choices.

The primary problem solved by Yeti to Eat. This project focuses on minimizing the time and mental effort users spend deciding where to eat, promoting spontaneous and stress-free dining experiences.

Introduces a social dining feature where two users can connect within the app to receive a joint restaurant recommendation, perfect for group outings or date nights.

The backend system that adapts to user tastes, learning from choices made and feedback provided to enhance the accuracy and personalization of future recommendations.