Spatial Optimization

Vue3 Gantt chart with powerful Resource View for task scheduling and resource planning.

Using Genetic Algorithms to optimize the allocation of services or facilities to specific locations. The primary application of this project is in the context of Covid-19 vaccine center locations, aiming to strategically position vaccination facilities for efficient and widespread coverage.

Application of Nonlinear Resource Utilization and Allocation Problem in Bicycle Resource Planning using Metaheuristic

ReceivingDB is a server-rendered progressive web application built with MongoDB, Express, Handlebars, and NodeJS meant to be extended and used as part of a more comprehensive open-source inventory management and resource planning implementation.

A lightweight, visual resource planning tool with a GitHub-style allocation grid. Paint workloads, track capacity, and collaborate in real-time.

End-to-end Medallion Architecture on Microsoft Fabric for tracking the U.S. government’s 2020 critical minerals: automated pipeline ingests raw CSVs into Lakehouse, PySpark builds a star schema, a lake-based semantic model with DAX & RLS delivers curated data, and Power BI dashboards visualize insights. Contributions welcome!

Spatial Optimization

Strategic medical staffing plan for the US flu season. Data-driven allocation based on CDC death rates and US Census demographics, featuring Tableau dashboards and a video presentation.

ZRP — Open-source Resource Planning (ERP) for hardware companies. Go + vanilla JS SPA.

A simple CLI tool to fetch Hugging Face model metadata and estimate required VRAM/RAM for inference.

PRISM – Planning Risk Insight & Scheduling Monitor (Team 5G) built PRISM, an end‑to‑end behavioural analytics solution that combines data science, AI, and interactive dashboards to surface risky resource and forecasting behaviours. The solution identifies overloads, underloads, forecast bias, milestone drift, and planning volatility, and p...

Deterministic scheduling engine for complex resource planning and availability computation in modern .NET systems.

FlowBoard generates self-contained HTML delivery dashboards from Jira data, with sprint health, capacity, epic progress, risk detection, blockers, dependencies, and what-if simulations.

📅 TeamScheduler — Gestion de planning, présence et ressources. 21 pages, Blazor Server, Clean Architecture, analytics.

ProcPlan is a dependency-free GPU resource planner built entirely on the Python standard library and SQLite

Forecast Force (Team 5F) delivered a proactive behavioural analytics concept to identify risky resource and forecasting patterns before they impact delivery. Branded as Forecast Force, the team combined Python‑based analysis with visual storytelling to highlight overloads, underloads, forecast drift, ignored dependencies, and planning volatili...

Persona‑Driven Planning Insights (Team 5E) developed a persona‑led analytical framework for the Risky Resource Routines challenge, focusing on how different roles experience and act on poor planning behaviours. They combined behavioural metrics, data profiling, and LLM‑assisted analysis to map forecasting and resource issues to tailored in...

Data Quality & Forecast Integrity (Team 5C) concentrated on strengthening data quality and analytical foundations for behavioural insights into resource planning and forecasting. They built a Python‑based data cleansing and analysis workflow to validate synthetic schedule and resource data, calculate forecast versus actual performance, and exp...

Project Arches – Resource Behaviours Dashboard (Team 5B) delivered an interactive Power BI dashboard that analyses resource utilisation and forecasting behaviour to expose inefficiencies and productivity blockers. The solution cleans and normalises schedule and financial data, visualises effective utilisation, and surfaces behavioural patterns...