Kenya Affordable Housing

Affordable Housing Price Estimator

Estimate house prices from construction, financing, repayment, and buyer-income details using the current trained model.

Project Overview

Designed to make model predictions easier to use.

01

Kenya-focused data

The estimator is based on an affordable housing dataset with Kenyan pricing and financing fields.

02

Existing model preserved

The Django app loads the saved model exactly as it is and sends inputs in the trained feature order.

03

Clear input groups

Prediction inputs are organized into project costs, property details, financing, and buyer profile sections.

Model Inputs

The predictor uses nine financial and property variables.

Financing cost Construction cost Markup Monthly repayment House size Cost per sqm Interest rate Housing levy Buyer income