AI & ML
in MEP engineering
Bridging data science and building services
- BIM / IFC
- Python
- Machine Learning
- Practice
The best way to predict the future is to invent it.
Latest posts
All posts →
How Does a Neural Network Learn to Drive Through a Building? Optimisation with BIM Racer
From weights and activation functions to gradients, mutations and testing on new maps. Explore neural network training with a robot in Revit.
Regression in BIM 5D: Fitting a Function to Data and Predicting Construction Costs
An accessible introduction to regression and the mathematics behind machine learning for BIM, AEC and MEP, using the Residential Building Dataset.
AI Doesn't See a BIM Model. AI Sees Data.
Why data distribution is one of the first concepts worth understanding in ML4BIM — from probability mass to integration, with MEP examples.
About the project
ML4BIM is an open educational platform for MEP/HVAC engineers who want to explore artificial intelligence and machine learning. We publish hands-on posts, tutorials and experiments — from Python basics to real-world ML applications in the BIM industry. Step by step, no jargon.