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The Doggy Daycare project represents a paradigm shift in how we approach animal care facilities. By utilizing Agent Based Modeling, we were able to model behavioral patterns to maximize occupancy and reducing overcrowding, ensuring a healthier environment for both pets and staff. The Agent Based Model uses both an informed random walk alogrithm and state machine logic. This is then trained using a custom computer vision algorithm watching other doggy daycare spaces using Ultralytics YOLOv8. Using Bayesian Optimization, the trained system allowed the City of Braintree to increase permitted occupancy from 50 dogs to 90, an 80% increase.

Zoning Diagram

The layout creates distinct zones for different energy levels. The large dog zones are in the large open space, while the small dog zone is towards the entry area. The small dog zone also can be separated into multiple smaller zones to provide more energy-dependent zones.

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Sustainability was a key driver. We repurposed the existing industrial shell, minimizing embodied carbon. The mechanical systems are tied to occupancy sensors, reducing energy consumption during off-peak hours.

Final Interior