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# Python

Panoramic Vision: Computational Streetscape Analysis

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MaCT-01 2023-2024

“Can we understand urban environments and street characteristics from Google Street View panorama images using Machine Learning and Stable Diffusion techniques?” Project OverviewThis computational design project aims to develop a pipeline utilizing Grasshopper and Python to visualize clusters of panoramic streetscape images. The project leverages t-Distributed Stochastic Neighbor Embedding (t-SNE) for dimensionality reduction, facilitating the … Read more

Urban Context Generator

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MaCT-01 2023-2024

Grasshopper is an incredibly versatile tool that in recent years has expanded into fields far beyond the origins in three-dimensional parametric design. One of these fields is that of GIS analysis, which has traditionally been approached through software such as QGIS. The advantages of Grasshopper and Rhinoceros3D over QGIS include the versatility and customisability of … Read more

Never Miss A Ride

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MaCT-01 2023-2024

Introduction This presentation outlines the development and evaluation of machine learning models aimed at predicting the availability of bikes at various bicing stations in Barcelona. We’ll discuss the variables involved, the modeling techniques used, and compare the performance of different models. Python is a friendly environment for preparing, training and forecasting machine learning algorithms within … Read more

Predicting Biking Station Vacancy in Barcelona

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MaCT-01 2023-2024

Introduction Urban transportation planning relies on data science to explain the conditions driving mobility patterns. This exploration of bicing, Barcelona’s resident bike rental program, analyzes the actors impacting discrepancies in bicing data to select machine-learning strategies able to predict biking station vacancies across Barcelona for the year 2024 with an accuracy of 0.02387. With this … Read more

Bicing Prediction Models with Machine Learning

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Bicing was launched in 2007 as a viable eco-friendly alternative or complement to traditional private and public transportation. The mobility network has also allowed for increased physical activity and better connectivity between neighbourhoods of Barcelona. It is aimed at anyone with a NIE, over the age of 16. The Bicing 2.0 models were released in 2019 to … Read more

Shape it, feel it

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MRAC-01 2023-2024

Working in 3D CAD environments can be restrictive. While most CAD software provides tools for creating shapes and generating ideas, they often rely on a mouse and keyboard, or are very expensive. “Shape it, Feel it” investigates opportunities to generate shapes using a computer’s webcam and hand gestures. We utilize cheap and readily available hardware … Read more

Peacock Immersive Experience

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MRAC-01 2023-2024

Concept Most of Virtual Experiences are designed and model for humans and by humans. In this scenario believe the overall concept is that the game platform is seen from the perspective of an animal. References Aim “Our goal is to offer humans a unique experience through the eyes of a peacock. This game platform immerses … Read more

Wired Warriors

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MRAC-01 2023-2024

Aim “Create a range of robotic mini-games showcasing dexterity and quick reflexes, ideal for casual enjoyment.“ For this one week workshop, we drew inspiration from various games such as infinite passes, penalty shootouts, and boxing, aiming to adapt them for robotic play. Initially leaning towards infinite passes (football), we ultimately found boxing more compatible with … Read more

DANCING QUEENS

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MRAC-01 2023-2024

Due to limitation regarding the file size and quality, these performances are muted, lower quality and sped up to be under the limited file capacity. Dancing Queen(s) is an endeavor featuring a pair of robots performing synchronized dance moves. These choreographed movements mirror those of a trainer, who leads, and a follower, who emulates the … Read more

Lessons learned in Neuquén

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MaCT-01 2023-2024

The workshop challenged us to engage with the topic of planetary urbanization through the United Nations Sustainable Development Goals 2030 agenda. We chose to work on the city of Neuquen as it represents an example of a city that is undergoing a fast transition in the context of climate change. Neuquen province has a rich … Read more

Strings of life

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MRAC-01 2023-2024

This project was part of a 1 week workshop at IAAC, utilizing the institute’s two ABB IRB6700 industrial robots. The workshop incorporated Dr. Gannon’s sophisticated simulation tools, which provide safe, real-time control of industrial robots. Under the guidance of Madeline showing us how to sketch with robots we were able to work within a flexible … Read more

Flight Paths in Python

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MaCT-01 2023-2024

The world is in constant flux, domestic and international flights play a role in the fast paced travel that has become a normality. This project was conducted with python script in Jupyter notebook, to map out the airports and routes on our planet. PYTHON SCRIPT: import pandas as pd ports = pd.read_csv(“pathtoports.csv”)print(ports)from shapely.geometryimport Pointimport geopandas … Read more

Machine Learning to predict no. of seating spaces

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MRAC-01 2023-2024

Aim: To predict the number of seating spaces based on various types of seating layout, number of corridors and dimensions of generative enclosed rectangular spaces such as an auditorium. Objectives: Dataset Design: To create Dataset for the required problem, a synthetic dataset is designed with the help of various bylaws supporting the problem. Data Analysis: … Read more

Timber outlook

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MRAC-01 2023-2024

The project’s objective was to create a machine-learning model capable of classifying repurposed timber components within an assembly process as either structural or non-structural, using factors such as defect quantity, age, and exposure to weather conditions as input. Dataset Generation and Analysis The dataset was produced using Roboflow by utilizing scans of the timber elements … Read more

Predicting Ceramic Underglaze Colors

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MRAC-01 2023-2024

Our aim is to develop a machine learning model that accurately predicts the color outcome of ceramic underglazes based on their ingredient compositions and firing conditions. In the world of ceramic art, the process of underglazing involves applying colors to pottery which are then sealed under a transparent glaze before firing. However, predicting the final … Read more