Problem Cities face many everyday problems such as flooding, damaged infrastructure, traffic issues, poor drainage, and unsafe public spaces. The information needed to understand these problems is often scattered across photographs, locations, historical information, observations, and different sources. Citizens and student innovators may identify a problem but struggle to transform that information into a structured, practical solution. Solution CityMind is an AI-powered civic innovation workspace designed to guide users from identifying a real-world city problem to creating a structured solution. Instead of simply generating an answer, CityMind provides a step-by-step workflow: Challenge → Evidence → Timeline → AI Analysis → Solution Design → Solution Blueprint → Build with IBM Bob. Users first describe a city challenge and its location. They can then collect supporting evidence such as photographs, observations, and location information. Maps and geolocation help connect the evidence to the real-world location. The collected information is then used in the AI Analysis stage to help identify patterns, causes, impacts, and important considerations. Users can move from the analysis into a Solution Design stage and then generate a structured Solution Blueprint describing how the proposed solution could be implemented. Target Users CityMind is designed for students, civic-tech innovators, researchers, community groups, urban problem solvers, and people who want to turn observations about their city into buildable technology solutions. Creative and Unique Aspect CityMind focuses on the complete journey from a real-world observation to an implementation-ready concept. Rather than treating AI as only a chatbot, it organizes the problem-solving process into connected stages and keeps evidence, location, analysis, solution design, and implementation planning together. Impact By structuring the process, CityMind can reduce the gap between identifying an urban problem and developing a concrete technology solution. It helps users organize evidence, understand a problem, explore solutions, and communicate an implementation plan in a form that can be taken forward for development.
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