digital age. These systems rely on collecting large amounts of data and analyzing it using artificial intelligence and machine learning techniques to make accurate and intelligent decisions. The process of building an intelligent system begins with data collection from various sources such as databases, sensors, or digital applications. The data is then processed and cleaned to ensure high quality. After that, machine learning algorithms are applied to identify patterns and predict future outcomes. The more accurate and diverse the data is, the more efficient the intelligent system becom Data-driven intelligent systems are widely used in many fields, including healthcare, education, e-commerce, and smart transportation. They help improve performance, reduce errors, and provide personalized services tailored to users’ needs. In conclusion, building data-driven intelligent systems is a key step toward a smarter future, where data acts as the main fuel for these systems, and responsible data usage plays a crucial role in their succes