Automated internship scheduling for a paramedical training institute

The challenge

A paramedical training institute had to organize, every year, the rotation of several student cohorts (nursing, physiotherapy, etc.) across dozens of hospital departments, each with limited capacity. Building this schedule by hand meant manually arbitrating hundreds of overlapping constraints — per-department capacity, fairness between students, gaps between rotations — with a constant risk of capacity overruns or forgotten students. Tracking individual progress and producing administrative documents (assignment letters, nominative lists) required repetitive manual work on every change.

The solution

We built a scheduling engine that automatically generates rotations for an entire cohort by optimizing a weighted score (availability, urgency, department load, delay), with weights that are adjustable and can be auto-tuned via random search or a genetic algorithm. Every generated plan is validated and scored with an overall quality score (load balance, completion rate, absence of capacity overruns) before being proposed. Individual student tracking stays editable independently of the generated plan, and official documents (assignment letters, nominative intern lists) are produced automatically from the planning data.

Our approach