Intelligent Property Maintenance Prediction System

Develop a predictive maintenance forecasting system for large real estate portfolios using time series analysis and machine learning. The Python-based solution should integrate IoT sensor data, historical maintenance logs, and building age/material specifications to predict potential equipment failures and maintenance requirements. Create a priority-based recommendation engine that estimates repair costs and optimal intervention timelines.