Ai-bnb

Inspiration

We were inspired by the idea of rebuilding Airbnb for the AI era, where every part of the experience—from chatting about your dream stay to booking, managing clients, and scheduling cleaning—is powered by intelligent automation. Our goal was to make the entire process conversational, personalized, and effortless, replacing filters and forms with natural interaction.

How We Built It

We built the system using Next.js for the front end, Flask for the backend, and MongoDB for data storage. For AI integration, we used Dedalus Labs Sky, while GitHub Copilot helped us accelerate development and stay productive throughout the hackathon. Together, these tools allowed us to create a prototype that connects conversational AI with real-time property data, enabling a smarter, more intuitive booking experience.

What We Learned

We learned that designing for the AI era is not just about intelligence—it’s about creating fast, context-aware, and seamless interactions. While conversational chat makes the experience more human and enjoyable, even small delays between a user’s question and the AI’s response can significantly affect engagement. This taught us that minimizing latency is just as important as improving accuracy when building conversational systems.

Challenges We Faced

Our biggest challenge was handling the complex data exchanged between the frontend and backend in an elegant and efficient way. Maintaining synchronization between user input, AI responses, and property availability required careful architectural design. Ensuring that the system remained responsive and reliable while processing multiple tasks simultaneously was one of the most technically demanding parts of the project.