JengaWise

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  JengaWise

Inspiration

Nairobi's real estate market is growing rapidly, yet developers, lenders, and investors still rely on fragmented spreadsheets, outdated reports, and intuition to make multimillion-shilling decisions. This often results in oversupply, poor investment choices, and inefficient allocation of capital. We wanted to create a single source of truth that combines market data, predictive analytics, and AI to help stakeholders confidently decide where to build, lend, and invest.

What it does

JengaWise is an AI-powered real estate intelligence platform that aggregates data on housing supply, rental prices, occupancy rates, absorption trends, construction pipelines, and area-level demand forecasts. It provides an interactive map, AI-generated market insights, and property risk scores, enabling users to identify investment opportunities, assess risks, and monitor market trends from one centralized dashboard.

How we built it

We built JengaWise using a modern web architecture with a React frontend and a Python-powered backend. Geospatial visualization is powered by interactive mapping technologies, while AI models (OpenAI) analyze historical and current market data to generate demand forecasts, investment insights, and risk scores. The platform integrates multiple datasets into a unified analytics engine that presents actionable intelligence through an intuitive dashboard.

Challenges we ran into

One of our biggest challenges was sourcing and standardizing fragmented real estate data from different providers. We also had to develop meaningful risk metrics and demand forecasts that could provide reliable insights despite limited publicly available market data. Balancing technical complexity with an intuitive user experience was another key challenge.

Accomplishments that we're proud of

We're proud of building a platform that transforms disconnected market information into actionable intelligence. By combining AI, geospatial analytics, and market forecasting in one dashboard, we've created a solution that can significantly improve investment decisions, reduce risk, and increase transparency in Nairobi's property market.

What we learned

Building JengaWise reinforced the importance of high-quality data in AI applications. We learned that combining diverse datasets creates far more value than analyzing them independently. We also gained valuable experience in geospatial analytics, predictive modeling, and designing user-centric dashboards for complex decision-making.

What's next for JengaWise

Our next step is to expand data coverage across Kenya and eventually other African cities. We plan to incorporate satellite imagery, infrastructure development data, mortgage and financing analytics, and real-time property transaction information. Future versions will also include personalized investment recommendations, API access for financial institutions, and advanced predictive models that help stakeholders anticipate market changes before they occur. Our long-term vision is to become Africa's leading real estate intelligence platform, powering smarter urban development and investment decisions.

Built With

• css
• javascript
• mapbox
• openai
• supabase
• typescript
• vercel