The rising demand for effective crowd management systems has outpaced the capabilities of traditional manual surveillance methods, which struggle to provide real-time responsiveness in dynamic settings. To address this gap, SmartCrowd introduces an AI-driven solution leveraging [1] YOLOv8 for high-precision tracking and counting of individuals, even in dense crowds. With real-time monitoring, SmartCrowd enhances situational awareness, enabling authorities to swiftly address potential risks and disruptions. Its deployment helps prevent crowd-related incidents, optimize space utilization, and support urban planning. Adaptable to diverse environments such as events, transportation hubs, and tourist sites, SmartCrowd demonstrates broad applicability. Preliminary tests reveal detection accuracy surpassing traditional methods, highlighting SmartCrowd's potential to revolutionize public safety and crowd management in high-density scenarios.