Case Study: AI-Powered Real Estate App MVP in 30 Days
Project Context
I joined a small consulting team building a custom MVP demo for a major enterprise client. The backend team had structured real estate data and model scoring outputs served through a FastAPI pipeline. Our job was to make that data usable, presentable, and compelling in time for a high-stakes enterprise demo. We had one month.
My Role
I was the sole frontend engineer, responsible for designing and building the UI from scratch. My focus was translating raw model outputs into an interface that stakeholders could click through, understand, and get excited about.
Stack
- React with Mantine for UI components and theming
- React Query for async state and API orchestration
- Plotly for rich, interactive data visualizations
- FastAPI backend providing real estate data and scoring logic
What I Built
- Core property list and detail views with filters and scoring overlays
- Plotly-based charts to visualize calculations and model trends
- Responsive, accessible layout optimized for demo settings
- Data normalization and UI abstractions to handle incomplete or inconsistent inputs
Results
- Delivered a demo-ready frontend in four weeks
- Enabled enterprise stakeholders to engage directly with AI-driven insights
- Created a clean codebase that was easy to hand off and extend
Takeaway
I brought structure and clarity to a messy backend, turning it into a product-like experience. The final result helped the team secure ongoing enterprise interest and demonstrated how fast, thoughtful frontend work can unlock real value from complex AI systems.
