research_studio_finals

Here you will find all the scripts created for the final reseach studio project of the "Ratz" team.

🧱 WALL‑E – Wall Assembly Generator

WALL‑E is a generative tool for sustainable and context-responsive wall design. It uses climate data, material properties, and environmental indicators to create and evaluate wall assemblies optimized for circularity, cost, embodied carbon, and heritage preservation.

🔗 Full concept and explanation:
https://blog.iaac.net/wall-e/

👥 Team

• Yashashvi Agrawal
• Ramy Anka
• Nihal Ahmed Mannath
• Salvador Cantuarias
• Marcos Navarrete (Master in Artificial Intelligence for the Built Environment — IAAC, 2024)

📁 Files

• wall generator script.py – Main script to generate and evaluate wall assemblies
• datasets/ – Input data including weather info and material properties
• NEO4J (Graph Database).ipynb – Graph-based material relationship modeling
• Improved Graph Agent.ipynb – Experimental AI-based design agent
• README.md – Project overview

⚙️ Features

• Weather-based wall design using real-time API
• Multi-criteria evaluation: U-value, R-value, embodied carbon, cost, circularity
• Automatic JSON and CSV output of wall options
• Integration-ready with graph databases (Neo4j)
• Aligned with principles of responsible sourcing and adaptive reuse

💻 Requirements

• Python 3.8+
• Key libraries:
  • pandas, geopandas, requests, json, random, os