Master's in AI for Architecture and Construction (MAICEN-1125)

This repository contains the assignments for the Master's in AI for Architecture and Construction program at the Zigurat Institute of Technology. Each module's project is organized into its own directory, containing all relevant code, documentation, and resources.

Repository Structure

The repository is organized by course modules. Each module's folder contains the assignment(s) for that unit.

.
├── M2U1/
│   ├── README.md
│   └── ... (FIDIC Notice Generator files)
├── M2U2/
│   ├── README.md
│   └── ... (Project Data Handling files)
├── M2U3/
│   ├── README.md
│   └── ... (RAG workflow JSON + screenshots)
└── README.md

Assignments Overview

Below is a summary of the assignments completed during the course. Click on the module to navigate to the specific project.

Module	Assignment Title	Description
M2U1	FIDIC Notice Generator	A tool to automate the generation of FIDIC notices based on contract conditions.
M2U2	Project Data Handling with Python	A Python script for analyzing project cost data, highlighting overruns and delays.
M2U3	RAG Mini Project (n8n)	A simple RAG-style workflow that loads project data, filters relevant subsets, and answers using only retrieved context.

Running the Code

Ensure UV is installed in your Python environment. You can install it via pip if you haven't done so:

pip install uv

install the dependencies for each module by navigating to the respective directory and running:

uv install

M2U1: FIDIC Notice Generator

M2U2: Project Data Handling with Python

To run the project data handling script, execute:

streamlit run M2U2/main.py

M2U3: RAG Mini Project (n8n)

About the Author

This repository is maintained by Osama Ata.

• GitHub: osama-ata
• LinkedIn: Connect on LinkedIn

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This repository is for educational purposes as part of the MAICEN-1125 program.