American Institute of Steel Construction in Python
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Updated
Aug 17, 2023 - Python
American Institute of Steel Construction in Python
Python CFS design functions
Excel VBA library for creating steel shape objects based on the AISC Steel Manual.
Real-time drowsy driver detection system using facial landmarks, Eye Aspect Ratio (EAR), and machine learning. Built with OpenCV, dlib, and scikit-learn to analyze live video and trigger alerts.
3D structural FEA with AISC 360 and ACI 318 design checks, running entirely in the browser
Free, open-source AI agent that designs steel buildings to AISC 360, AISC 341 / 358 and ASCE 7-22 on your own machine: OpenSees model, calc report and 3D viewer. Bring your own LLM.
Run Steltic inside Grok Bot: four bots (spec query manager, HR steel, CFS steel, nonlinear), two prompts each, grounded in your own licensed specification PDFs. No external RAG.
Open-source deterministic taxonomy and identification framework for structural sections, material-handling components, assemblies, and products.
This Repo is the Solution for COTM02 by AISC (https://aistudent.community/single_event/65)
Machine learning model to predict heartstroke probability using healthcare data (Python, scikit-learn, Streamlit)
AISC 360-16 steel design checks as a typed, traceable Python library. 373/373 equations, Chapters B-K plus Appendices 1-4/6-8, 1,138. tests.
Section properties and AISC data for common structural shapes in Rust
AI control layer for ETABS structural analysis — 806+ database tables, AISC 360-16, NTC-CDMX, UBIM export. By Hugo Velasco.
Free, open-source desktop app over every Steltic module: AISC and AISI design, OpenSees analysis, pushover, NLRHA, DDM, design variations and spec grounding in one local window. Start here.
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