We propose an AI-powered conversational module that delivers personalized, timely information about services, spaces, and activities—while collecting instant user feedback—so that the right opportunities reach the right people without the need to search multiple websites or newsletters. The application will be driven by a conversational multi-language AI assistant and a backend machine learning data analysis tool, providing insights on the newly collected or already existing data. Available information will be gathered from campus or municipalities databases and digital infrastructures (e.g., as mentioned in Bagcilar, Istanbul, Turkey proposed challenge). The two AI modules (the front-end and back-end) will work jointly in providing the end-users a place, interface, to express preferences and needs in form of conversational prompts and answer to the AI agent questions, and a personal concierge, or assistant, scraping data from the existing sources and providing the best tailored suggestions for activities, available rooms, spaces, events, services and suggestions and how to access them. At the same time, the system will suggest opportunities that fall outside a user’s usual interests, making new experiences more visible and accessible, and fostering cross-disciplinary, inclusive, and multilayered exploration of what is happening across the campus or neighborhood.
The software also captures quick, on-the-go user feedback (e.g. spontaneous comments and needs, state of wellbeing related to spaces, and ratings of events and services)—submitted in specific moments such as while waiting for a bus or during lunch—allowing users to share their thoughts immediately when they arise and in the actual places, rather than through long surveys or roundtables. The application collects other anonymized data—such as time, location, use of spaces, people density, and movements —integrating these with users’ comments and feedback providing an overview of how the locations are inhabited and experienced. The software integrates directly into existing campus or city applications, eliminating the need, at least initially, for users to download a new app.
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