Koo: An AI-Based Attendee Assistant

The "Koo" project, developed by a team of students at Carnegie Mellon University, aims to enhance trade show experiences with an AI-based Attendee Assistant. Koo is designed to tackle common challenges faced by trade show attendees, such as navigation, scheduling, and networking. By using advanced algorithms, Koo creates personalized itineraries based on each attendee's interests and goals, helping them navigate the event more effectively. Its indoor navigation system provides guidance through event venues, while AI-driven matchmaking facilitates meaningful networking connections.

Koo stands out with its ability to manage and organize information efficiently. Attendees can access real-time updates, event schedules, and session details through an intuitive interface, reducing the confusion often associated with large trade shows. Users can easily take notes, set reminders, and track important contacts and meetings. This comprehensive information management system aims to improve individual attendee experiences and contribute to the overall smooth running of the event.

The development of Koo involved collaboration among a diverse group of students, each bringing unique skills and perspectives to the project. Their objective was to enhance trade show experiences by integrating practical technology solutions. Koo's features, including personalized itineraries, interactive navigation, and AI-driven networking, aim to address the needs of both attendees and organizers. The team hopes Koo will make trade shows more enjoyable and productive for everyone involved.