The Mediterranean Sea has a substantial volume of maritime traffic, including many tankers ferrying oil from eastern sources to western refineries. This critical maritime front, vital for trade and connectivity, also poses a significant risk of oil spills due to these busy shipping routes. The conventional methods for early oil spill detection have encountered numerous challenges, primarily due to the complex and variable nature of spill events. Our product promotes an anomaly-based approach, treating oil spills as environmental outliers, and utilizes baseline water parameter comparisons to detect and monitor sea oil spills effectively. Our approach leverages satellite data, employing a combination of remote sensing techniques and advanced machine learning technologies. We provide an application designed for monitoring and detecting oil spills to empower users worldwide to conduct regular assessments, contributing to the proactive prevention of future environmental damage.