BUILT2AFFORD – Big Data Enabled Energy-Efficiency and Health Assessments to Provide Affordable Housing
Our research objective is to co-develop, test, and validate BUILT2AFFORD—a framework and tool designed to preserve affordable housing through low-cost, energy-efficient retrofits. Utilizing Machine Learning and Google Street View Images, BUILT2AFFORD will pre-identify passive retrofit strategies, demonstrated through the retrofitting of eight testbeds to showcase its viability.
Machine Learning – Life Cycle Assessment – Environmental Product
We develop an innovative approach that leverages large language models (LLMs) and machine learning to automate the analysis of building materials and products.
