The COVID-19 epidemic revealed flaws in conventional crisis management, so data-driven, safe, automated solutions were needed. This paper provides a smart contract-driven Pandemic Management System combining blockchain technology with artificial intelligence (AI), hence improving transparency, automation, and decision-making. We use Deep Reinforcement Learning (DRL), which allows adaptive policy enforcement and real-time decision-making in response to changing epidemic circumstances, hence optimising resource allocation and predictive analytics. By always learning from fresh data and modifying regulations, DRL enhances quarantine enforcement techniques, vaccination distribution planning, and healthcare resource optimisation. Blockchain guarantees tamper-proof, distributed data storage; smart contracts automate compliance monitoring, healthcare coordination, and safe contact tracking. Comparatively to traditional methods, experimental assessments show that the suggested methodology increases response efficiency, reduces dishonest activity, and improves policy compliance. This study emphasises the possibilities of blockchain-AI convergence with DRL to build a strong and flexible pandemic management system providing a scalable answer for next worldwide health emergencies.