Ruby Daniela Mendieta Martínez Libri

Focusing on the identification of microorganisms in water samples, this work utilizes image processing and classification techniques to analyze both drinking and non-drinking water. A comprehensive database of microscopic images aids in recognizing various microorganisms in contaminated water. The study emphasizes the classification process through electronic device data, aiming to reveal the predominant microorganisms present and assess their potential harm to human health.