Parse the contents of a P6 .xer file into a Python object

Project scheduling and earned value control for Python: CPM, PERT with Monte Carlo schedule risk, minimum-cost crashing, EVM and earned schedule. Validated against published reference values.

Instant Plan vs. Actual S-Curve generator from Primavera P6 XML exports. No installation or Excel required.

Weekly Plan vs Actual dashboard for engineering/construction projects. Power BI (DAX/modeling), variance hotspots and a simple pace index. Demo data included.

End-to-end residential construction estimating workflow including quantity takeoff, BOQ, contractor pricing, cost-loaded scheduling, Earned Value Management (EVM), commercial reporting, and project controls.

Standalone infrastructure mapping and digital transformation roadmap tool

Lightweight Excel/VBA planning engine for project scheduling, simulation, and controls.

MeridianIQ - The intelligence standard for project schedules. Open-source schedule intelligence from validation to prediction

Project Controls & Performance Analytics Dashboard | Google Sheets & Power BI | Schedule Performance | Cost Control | Resource Analytics

The team explored persona‑driven behavioural analytics to address risky resource planning practices. By combining detailed persona definitions, behavioural metrics, and deep analysis of forecasting and utilisation data, they designed a dashboard concept that highlights over‑optimistic planning, generic resource use, and weak feedback loops,...

This project aims to assess construction cost at completion, known as EAC, using artificial intelligence to take into account past data and provide accurate estimations

Construction Project Coordination Platform

WBS Cost Estimation Tool developed a desktop‑based Work Breakdown Structure (WBS) and Cost Breakdown Structure (CBS) estimation tool that supports structured cost entry, versioned change tracking, and comparison of estimates against actuals across the project lifecycle.

TerraCast developed TerraCast, a machine‑learning based forecasting approach that combines data quality checks, classification, and regression models to predict schedule delay risk and likely lateness across energy projects, supported by dashboard‑ready outputs.

Dashboard kontraktor untuk monitoring progres pekerjaan, deviasi proyek, produktivitas tim, dan evaluasi kinerja kontraktor secara terukur.

Field-first AI framework for construction cost control — capturing execution reality before enforcing reporting structure.

FutureFlo delivered FutureFlo, a data‑quality‑led schedule forecasting solution that combines structured data cleansing, feature analysis and Power BI visualisation to highlight drivers of project slippage and forecast future delivery risk.

PRISM (Planning Risk Insight and Scheduling Monitor) is a working behavioural analytics solution that exposes risky resource and forecasting practices across portfolios. Built for Challenge 5, it provides persona‑specific dashboards for planners, resource managers, project managers, and senior leaders, analysing utilisation, forecast accuracy,...

The team developed an automated Work Breakdown Structure generator that converts narrative project scope documents into structured, standardised schedules. Using defined activity standards and sample enterprise schedule data, the solution demonstrates how unstructured text can be transformed into consistent WBS elements with activities, duration...

Sistem monitoring progress proyek perumahan untuk membantu Project Manager, Site Manager, dan Pengawas mengontrol target dan realisasi pekerjaan.