Climate change represents one of the greatest challenges we face globally, and reducing carbon dioxide (CO2) emissions is among the most urgent actions. In this study, we explored an alternative approach using microalgae (Chlorella vulgaris) to capture CO2 from the air, employing an Arduino-controlled biofiltration system with accessible sensors such as the MQ-135 and TESTO 535. We tested different airflow rates (50, 75, and 100 L per hour) and nutrient combinations (N/P ratios of 0, 108.33, and 216.67) to identify the most efficient conditions. Unlike other studies, we integrated real-time monitoring of variables such as CO2 concentration, temperature, and light within a modular, easily adaptable system. The best results were achieved with a flow rate of 100 L/h and an N/P ratio of 216.67, yielding a capture efficiency of 34.88 % and a daily productivity of nearly to 1 g/L. This proposa...