The research harnesses the capabilities of Generative AI (Gen AI) to dynamically predict resource needs and proactively allocate critical healthcare resources, such as beds and ventilators, in real-time during unpredictable pandemics. Through its ability to uncover hidden patterns in data, Gen AI assists in generating diverse outbreak scenarios, enabling us to anticipate resource demands and optimize resource allocation strategies effectively. Moreover, Explainable AI (XAI) is seamlessly integrated into our framework to provide transparent model insights, ensuring trust and collaboration between AI technologies and healthcare professionals. The novel fusion of Gen AI and XAI not only enhances real-time resource allocation but also fosters a culture of trust and transparency in predictive analytics, thereby promoting more effective healthcare resource management. By anticipating resource bottlenecks and implementing preventative measures based on transparent model insights, our approach proactively mitigates future challenges, creating resilient and adaptable healthcare systems equipped to address crises with efficiency and foresight.