The project aims to develop a miniaturized electrochemical device for quantifying renal biomarkers (urea, uric acid, creatinine) using carbon-based electrodes. It includes electrochemical characterization, machine learning for data processing, IoT integration for point-of-care applications, and validation with human serum and urine samples. The focus is on biomarkers, not infectious detection.