In this seminar, we will discuss ML models for predicting resource consumption in buildings. We will focus on water and electricity consumption patterns in buildings and develop models that can account for both normal and abnormal consumption patterns for accurate future predictions. We will discuss practical implementations and deployments of our models in IoT applications for old buildings in the developing world. The seminar will be useful for wider audiences working in machine learning, data science, and water and energy informatics.