Picaissino
The Pitch Deck for this personal project was developed during the Business Innovation course at IAAC.
Demolition Treasure Hunt
Sorting for Salvageable Materials This course was mainly to understand automated collaborative multiagent systems in different environments. Term’s 3 topic (Human-Machine-Collaboration) is recognized through this course by exploring the possibilities of the processes and us being capable of mapping in different diagrams how we imagine a scenario with an automated procedure. For this task, we … Read more
ARCHIBUDDY – The World Is Your Friend
Introduction Archibuddy is a unique and innovative project that aims to create adaptive architectural elements to make environments emotion-responsive. Archibuddy will leverage the latest technologies to provide personalized experiences to users, optimizing their well-being and productivity using Emotion Detection Technology and the Algorithmic workflow that was developed over the course of the Master’s Research Thesis … Read more
myMindXR
Everyday, we are bombarded with notifications, emails and countless interactions online. On average, we spend over 40% of our time online
ArchSemble
“ARchSemble Welcomes you to the world of AR in Fabrication” ARchSemble is an Augmented Reality assisted application to help you build an architectural element or an entire structure.Assembly and reconfiguration of modules in the desired form,as per user requirement, with information and specifications of themodules can be achieved with the help of the application.All we … Read more
Machine Learning for the Prediction of Clay Deformation
Optimizing 3D Printing with AI prediction Introduction In this seminar we applied the concepts of machine learning to estimate the deformation during drying of simplified 3D printed clay objects. To do this, we trained an artificial neural network (ANN) to predict the movement of discrete points within the printed object. This project is very relevant … Read more
Democratizing Architectural Design: A Participatory Approach through AI
The democratization of the design process through artificial intelligence is the focus of my Master’s thesis. Recent advancements in AI have revolutionized the field of architecture by making it more accessible and inclusive. The necessity for years of experience with professional software is no longer a barrier, as text-to-image AI systems enable non-experts to visualize … Read more
Classification using Machine Learning
Our project involves the fabrication of a curved surface using cork panels that have been discretized into unique four-sided shapes. Our previous approach involved cutting each panel individually, but we aim to streamline the process by using machine learning to classify the panels into five distinct groups. We will then design and create a mold … Read more
Reinforcement Learning
Group 5 How can apartment typologies be designed to create communities within buildings, addressing social exclusion and isolation caused by modernist architecture? Can reinforcement learning be used to optimize the distribution of public and private spaces, such as apartments, balconies, patios, and courtyards, to create sub-communities within the building.
Terrace Hunter
CONTEXT: Pedro always has visitors and enjoys exploring the city while finding new patios to have a drink in the city of Barcelona. Often with larger groups of people, the patio size can’t always accommodate. Before choosing a spot, he wants to know how big the patios are and where within the city they are … Read more
Impact of Facade Materials on UHI Values
Introduction This project aims to investigate the extent to which different facade material choices can influence the urban heat island effect in the surrounding area. Urban Heat Island There are many factors that affect urban heat island and the three main branches are urban morphology, meteorology and surfaces. Out of all the factors three were … Read more
Proposal for Enhancement of Semantic Segmentation Model for Architectural Purposes
The current semantic segmentation model for ControlNet provides a list of usable materials, but they are not specific enough for architectural purposes. By generating new tokens (colours) that extend the existing model with new material types, we aim to improve the process by which stable diffusion operates and make it more suitable for architecture applications.
AER – Artificial Empathic Response [DIGISCAPES ver 2.0]
AER – Artificial Empathic Response [DIGISCAPES ver 2.0] is a project of IAAC, Institute for Advanced Architecture of Catalonia developed in the Master in Advanced Architecture 02 – by the student: Preetam Prabhakar and Research Thesis Advisor: David Andres Leon during the course MAA02 22/23 Thesis under the Algorithmic Design research thesis cluster.
Preliminary Materials for a Theory of Post-Metropolitan Verticality
Discourses of Verticality: Vignettes on (post)Metropolitan Urbanisms It all started from the Manhattanism proposed by Rem Koolhaas in Delirious New York. The theory explains the product of the verticalization of the city – skyscrapers, which stand neatly and compete with each other. The only thing in common is the small squares extruded by the grid- … Read more
AI in the Built Environment | Urban Analytical Tool for Greening the City
Juan is a young professional living in a narrow street in Barcelona and he describes the street he lives in as a concrete hell. How air quality and greenery impact the experience, how a citizen feels, about a public space? The result will be an urban analytical tool for the city planners to manage air … Read more
