Standard tools for workforce management, queuing, scheduling, rostering and optimization problems.

A solution centered around AI-driven scheduling, designed to optimize staff allocation, enhance patient care, and streamline hospital operations. It integrates advanced scheduling algorithms that prioritize staff preferences, ensure designated days off, and dynamically allocate doctors, nurses, and receptionists based on demand and availability.

A bare bone implementation of Erlang C in Python. No external modules/libraries we're used. Everything was derived directly from the formula.

This app is intended to solve a scheduling problem given the availability of the workforce on each shift and the amount of required personnel on each activity using genetic algorithm optimization.