The MaCAD is a unique online programme training a new generation of architects, engineers and designers ready to develop skills into the latest softwares, computational tools, BIM technologies and AI towards innovation for the Architecture, Engineering and Construction (AEC) industry.
Our Solution: The Co-creator App We’ve developed a Copilot App – a local AI system that lives in your building and speaks your language. Literally. You make natural language requests, and it translates them into real architectural actions by understanding the complex relationships between spaces and residents through graph databases and GDS algorithms. Here’s how … Read more
Introduction We are Aleyna and Francesco, and in this post, we present FG Sketches—a generative tool developed as part of the Artificial Intelligence in Architecture (AIA) module within the MaCAD Generative AI program. The objective of this project was to design a system capable of learning from the sketching language of Frank Gehry and translating … Read more
ISOGEN — Isometric Building Generation with AI By Joaquín Broquedis & Marco DurandFinal project for Generative AI Introduction This project explores the use of generative AI to produce isometric visualizations of architectural typologies. We developed ISOGEN, a small-scale prototype aimed at testing whether a custom-trained image-to-image LoRA (Low-Rank Adaptation) model could learn to generate building … Read more
Outline: Depth and canny of an object by Jose Lazokafatty and Paul Suarez Introduction The Machine, as a creative AI-powered image generator that turns your sketches and prompts into richly detailed visions. Born from curiosity—how does a machine interpret an abstract outline of a doodle? or the depth of an image? this project is as … Read more
In this project, we leverage Graph Machine Learning to enhance fire safety analysis by predicting fire spread risk in building units using enriched IFC models and advanced graph algorithms. Idea & Goal Our workflow begins in Grasshopper, where we configure building units and enrich the IFC model with custom fire-related attributes such as Material combustibility, … Read more
Thermal Comfort Index Prediction // Definition OBJECTIVE: predicting thermal comfort in air-conditioned residential buildings using machine learning algorithms. What is indoor thermal comfort? Thermal comfort is “That condition of mind that expresses satisfaction with the thermal environment” (ISO 7730) People may feel that their surroundings are warm, cold or simply comfortable depending on the thermal state … Read more
GWP-data enriched graphs Imagine being able to see the carbon footprint of a building, not after it’s built, but while it’s still a sketch. What if architects and engineers could get real-time sustainability feedback the moment they decide on a material or tweak a wall layout? That’s the vision behind Visual GWP. We combined Graph … Read more
A GRADIO tool that generates architectural line drawings from Rhino3D Viewport screenshots by relating on a trained LoRA of architectural line drawings that takes the viewport input prompt option setting and generate a ready to use line drawing The User even have the option to edit the Hue and Saturation of the line drawing and … Read more
Imagine transforming any 3D model into an expressive, hand-rendered-style watercolor sketch, a visualization that breathes life into architectural concepts. Pleinar: the interface that transforms 3D models into captivating, multiview, generative watercolor sketches, inspired by the brilliant artistry of Liz Steel. __________________________________________________________________________________________________________________________________________________________________________ __________________________________________________________________________________________________________________________________________________________________________ The LoRA – training DATASET We trained this LoRA on the work of … Read more
Sketches in Space with AI and LoRA What if architects could doodle inside their designs—live, in 360°? ARchitect is a mixed-reality interface I developed for stylizing architectural spaces using expressive, cartoon-like overlays. Powered by LoRA fine-tuning and a custom-trained Flux, ARchitect reimagines how we interact with our built environment—by making architectural visualization playful, intuitive, and … Read more
Visual Storytelling using SDXL _LoRA_Gradio Exploring Dali and Bosch-inspired storytelling with SDXL + Gradio Our project is a tool that helps architects turn stories into surreal image sequences. We explored styles inspired by Dali and Bosch to create dreamlike visuals. Although we trained a custom model, we used prompt-based image generation in the final version. … Read more
Problem statement Pavilion design is deceptively demanding. Even though these structures are small, the creative expectations are incredibly high. In most competitions or studio settings, we’re expected to deliver rich, meaningful concepts – drawing on cultural references, environmental context, and symbolic language – all within just a few days or even hours. At the same … Read more
Welcome to Panton vs Lumon, the app we built during the GenAI course to explore what happens when you pit two aesthetic extremes against each other, then hand over control to the user. Think Verner Panton meets Severance’s Lumon Industries. This isn’t just style transfer – it’s a design identity crisis turned into a creative … Read more
Intro Designers know the pain: a perfect image—ruined by one wrong material. A distracting object. A missing texture. An awkward composition. You could retouch it manually, but how long will that take? And will it ever really blend? What if you could just circle the problem area and ask for something better? Something that fits … Read more
Why “Faster” Matters A single photorealistic render can quickly be very expensive and take days to produce, locking design changes behind hefty bills and long waits for architects. Generative AI, through models like Stable Diffusion and custom LoRAs, slashes both cost and time, turning sketches into near-final visuals in seconds. By democratizing high-fidelity imagery, it … Read more
Introduction In this blog, we walk through the complete data science process applied to a unique challenge: predicting the acoustic comfort index of apartment units based on architectural and environmental features. This includes data preprocessing, feature engineering, model training, interpretation, and tuning—with tools like XGBoost, Neural Networks, and SHAP for explainability. The workflow is split … Read more
