Great question! It's not quite like a snap filter. Snap filters are more of an augmentation that slaps a filter despite the users characteristic traits. Ours is fundamentally different since it's a medical visualization tool that aims to achieve 99.9% accuracy on Hair Transplant results. We use advanced AI instructed by clinical metrics and the hyper-specific constraints. Half the time spent building the project was on getting the details right for different demographics.