This research project explores the use of generative AI tools for restoring and enhancing degraded video and audio content. The work focuses on two key use cases: (1) improving the quality of dash cam footage by addressing common real-world issues such as glare, shadows, and obstructions like dirty windshields; and (2) restoring old or damaged films and television recordings, including enhancing resolution, removing visual artifacts, and cleaning up audio. The project begins with a survey of current state-of-the-art models and tools, followed by hands-on experimentation and the development of novel approaches tailored to these restoration scenarios. The ultimate goal is to create accessible, AI-powered solutions that preserve visual media and improve its clarity and impact for both archival and contemporary use.