Automating you tube video uploads using cloud-native technologies

In the evolving landscape of digital content creation, video editing remains a critical bottleneck for YouTube creators aiming to produce high-quality, consistent content. This paper presents a comprehensive full-stack platform designed to streamline collaboration between YouTube creators and freelance video editors. The system facilitates an end-to-end workflow, enabling creators to upload raw footage, define editing preferences, and interact seamlessly with editors through a structured, role-based interface. Built with a scalable microservices architecture and powered by React.js on the frontend, the platform leverages Amazon S3 for advanced cloud storage, ensuring efficient handling of large media files with fast and reliable transfers. Supa base is employed for backend data management, user authentication, and real-time collaboration features, providing a robust foundation for managing concurrent user interactions. Secure authentication mechanisms and access control policies further ensure data privacy and system integrity. Additionally, the integration of the YouTube Data API allows creators to directly publish finalized content with appropriate metadata and scheduling, simplifying the content production lifecycle. This work demonstrates how the platform optimizes video editing collaborations through automation, scalability, and user-centric design, offering a professional and efficient ecosystem for content delivery.