Climate change and ecosystem degradation are pressing environmental challenges in the twenty-first century, resulting from both natural and human activities. As global temperatures rise and natural habitats face increasing threats, innovative solutions like the Internet of Things (IoT) and artificial intelligence (AI) offer promising mitigation strategies. This study examines IoT and AI applications in climate change mitigation and adaptation, ecosystem restoration, and conservation. In climate change mitigation, the research explores how these technologies improve energy efficiency in buildings, optimize renewable energy integration, and guide sustainable transportation. For adaptation, it highlights their contributions to early warning systems for natural disasters and urban resilience. In ecosystem restoration and conservation, the study examines applications in biodiversity monitoring, habitat management, and invasive species control. The integration of these technologies enables more precise, data-driven approaches toward climate change mitigation, facilitating ecosystem restoration and endangered species protection. Findings demonstrate that IoT and AI significantly improve energy efficiency and renewable energy integration, enhance early warning systems and urban resilience, and enable more accurate monitoring of biodiversity and habitats. Despite their significant potential, challenges remain in energy consumption, data management, and privacy concerns. By addressing these issues and identifying future research directions, the study provides a way forward for stakeholders to harness these technologies for a sustainable future.