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.
MCP server exposing pmcontrols (CPM, PERT, crashing, EVM, earned schedule) as validated tools for AI agents.
Weekly Plan vs Actual dashboard for engineering/construction projects. Power BI (DAX/modeling), variance hotspots and a simple pace index. Demo data included.
AI-powered project management platform for construction — docs, roadmap, and community
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.
Primavera P6 EPC scheduling case study — 380kV GIS substation, data centre grid connection
Models and ranks recovery interventions (add resources, re-sequence, accept delay) against a programme's schedule/cost/risk status — the toolkit's missing decision layer, not another status report.
Earned value management and project-controls reporting, operationalized: SPI/CPI, EAC/ETC/VAC, milestone tracking, and risk register analysis, computed automatically instead of rebuilt by hand.
Python tool for Earned Value Management (EVM) analysis on infrastructure projects — CPI, SPI, EAC calculations with automated dashboard output
RiskPulse — AI-Driven Project Risk Manager A PMP-aligned web application for quantitative project risk analysis. RiskPulse utilizes Beta-PERT Monte Carlo simulations, Critical Path Method (CPM) scheduling, and Earned Value Management (EVM) to proactively identify bottlenecks, slippage, and resource contention in real-time.
End-to-end construction programme monitoring: Python pipeline → Excel dashboard → Power BI model. Earned Value Management across a ₹1,910 Cr infrastructure portfolio.
Portfolio-ready Python analytics platform for aerospace quality risk management, combining risk scoring, EVM metrics, quality-control insights, FastAPI, and Streamlit dashboards.
WSQ PMP 35 PDU courseware aligned to the PMI Examination Content Outline (July 2026): a 545-slide deck, Lesson Plan, Learner Guide and 24 hands-on labs built on one continuous case study, covering People 33% / Process 41% / Business Environment 26% plus sustainability and AI in project management.
Single-file offline IT Project Manager workspace for Fixed Bid, Agile Scrum, and Hybrid projects with Gantt, sprint board, budget, RAID, reports, charts, and AI-style prediction.
Full Primavera P6 EPC schedule build — WBS, resource conflicts, EVM, and a real recovery scenario, modeled on Exyte's Renningen facility.
Project-controls assurance engine for P6, cost, change, and risk data with reproducible evidence.
Phase-gated capital-program-controls dashboard — 20 derived KPIs across cost, schedule, risk, change, delivery & compliance, each with formula, threshold, and playbook. Zero dependencies, 3,997 tests, dual-stack (JS + SQL) parity proof.
Composes the four project-controls toolkit tools (EVM, schedule health, change control, risk trend) against one consistent programme into a single integrated status report.
Automate construction cash flow and S-Curve generation. Schedule-driven Excel template for project managers to track SOV, cost forecasts, and WBS progress.
Local-first project controls desktop app for schedule, cost, risk, change and weekly management reporting.
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