We developed an automated method that uses artificial intelligence to identify marine microscopic organisms called foraminifera, which serve as bioindicators of ocean health. By combining a low-cost imaging system with computer vision, our approach can quickly and accurately recognize both living and dead specimens. This makes environmental monitoring faster, more consistent, and more accessible for studying how coastal ecosystems respond to pollution and climate change.