📍 Background

As part of a multi-day marketing innovation event, our team developed Smart Housing Predictor — a predictive AI platform for local governments to make better-informed housing infrastructure decisions. The tool was designed to help municipalities analyze population shifts, budget constraints, and environmental risks to forecast long-term development needs.

Our concept was grounded in a real-world challenge: housing demand is growing, but most cities still use reactive planning models. Our goal was to reframe this as a proactive, data-powered strategy tool for planners, councils, and housing boards.

🚨 The Challenge

- Most urban planning tools are outdated and disconnected across departments
- There’s limited forecasting capability tied to real-time data (climate, migration, income trends)
- Housing budgets are fixed, while the demand matrix keeps shifting
- Lack of transparency leads to stakeholder friction and public distrust
- AI adoption in government is typically viewed as opaque or overhyped

We had to build a concept that felt credible, usable, and public-serving — not just “tech for the sake of tech.”

🧠 Strategy & Execution

🔍 Research & Insight
- Conducted interviews with international students, residents, and public policy scholars
- Analyzed housing reports, migration statistics, and ESG risk maps
- Identified pain points in stakeholder communication across government, NGOs, and developers

🔧 Solution Design
- Designed a multi-layered dashboard UI for scenario simulation, impact scoring, and project cost forecasting
- Integrated filters for climate risk, income-level demographics, and proximity to public services
- Developed a service blueprint mapping the interactions between data engineers, city staff, and citizens
- Proposed scalable business model: freemium for small cities, premium support tier for large metros

📈 Results (Concept Stage)

- Presented to faculty, mentors, and industry judges with strong reception on clarity and relevance
- Pitch praised for turning a “dry problem” into a compelling public sector tech story
- Highlighted as a standout solution with cross-functional utility and long-term policy value

✅ Key Takeaways
- Policy-focused tech must feel usable, not futuristic — story design matters as much as data
- Bridging public-private data challenges requires trust-building UX and scenario transparency
- Co-creating user flows with real user types (gov, NGO, citizens) leads to more viable concepts

🧰 Skills Showcased
B2G Marketing • UX Strategy • Stakeholder Mapping • Data-Driven Concepting • Presentation Design • AI Framing • Service Blueprinting