PROJECT 02 / Conversational AI · Hospitality
FeedBack.
Turning post-visit conversations into structured customer insights for hotels and restaurants.
Miami AI Hackathon
Co-founder · Team member
Prototype · Early-stage venture
The problem
Conventional surveys offer a narrow window into a guest’s experience. FeedBack explores a more natural way for hospitality businesses to hear what customers have to say after a visit.
The approach
The concept uses conversational AI for post-visit feedback conversations. Voice-based collection and structured extraction are intended to turn open-ended comments into useful themes and sentiment insights.
Product workflow
Guest conversation → AI processing → structured customer insights. The focus is on connecting a natural conversation with information a hotel or restaurant can understand and act on.
Current progress
Developed with Aaryan Gajula during the Miami AI Hackathon. FeedBack is a prototype and early-stage venture; no commercial adoption or deployed hospitality integrations are claimed.
Limitations & next questions
Consent, guest privacy, reliable interpretation of feedback, and the burden of automated follow-up are important questions for future product development. The concept still needs validation in real hospitality settings.