Le bot de la Warriors Army Corp, développé pour et par la communauté !

Packing optimization technique, takes the inputs about the product from the user and provide with the best suitable packaging material, orientation and size which ultimately minimizes the package cost.

Site vitrine de montres et lunettes conçu dans le cadre d’un projet SEO. L’objectif principal était de positionner le mot-clé “zorglux” en première position sur Google. Le site met en œuvre les bonnes pratiques de référencement naturel.

A presentation giving guidance on how to optimise your feedback loop and improve efficiency

Atmos is a Python + FastAPI project that simulates and optimizes air quality sensor placement across the city. The system combines real-time WAQI data, traffic-weighted zone analysis, and optimization algorithms to propose an efficient sensor network that is cheaper and more effective than the existing CAAQMS stations.

Assumptions tracking for WOFOST Potato using behaviour-driven development.

AI-driven genetic algorithm to generate optimized meal plans that meet daily micronutrient requirements.

Single page optimised HTML site to market an estate and achieve perfect lighthouse score

UX - Coopérative de Transporteurs Qualifiés (CTQ)

In this project, we are optimizing inventory management and shipping for 50 stores by considering demand, inventory levels, shipping, and replenishment costs. We’ll use Ant Colony Optimization (ACO), a metaheuristic algorithm inspired by ants' foraging behavior, to tackle these complex logistics challenges effectively.

Optimisation des performances, du SEO et correction des bugs du site d'une photographe freelance. Ajout d'un référencement local.

Presentation titled "A Brief Review of Hyperparameter Optimization Methods for Machine Learning" for Research Methods in Computer Science course at Ryerson University

🍺 1st Place at Royal Hackaway v8! Medieval, crime-aware taverncrawl optimisation and routing.

flexible risk-based optimisation

Raw R code for manuscript: Hughes JH, Upton RN, Reuter SE, Phelps MA, Foster DJR. Optimising time samples for determining AUC of pharmacokinetic data using non-compartmental analysis.

Capacity Expansion and Time-Sequential Dispatch Learning Model. A single-file browser-only learning model for linear capacity expansion and hourly dispatch. It is intended for education, screening-level analysis and strategy framing. It does not require a local Python install.

a prototype dashboard interface for the EV management via traffic and battery SoC, SoH optimisation