AI Social Media Post Scheduler: A MERN Stack Approach to Automated Content Generation and Scheduling

DOI

No DOI

Published In

Volume 5, Issue 3 (2026)

Published Online

September-December 2026

Pages

787-790

Article Type

Original Article

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In the digital era, consistent and well-timed social media presence is essential for individuals, small businesses, and organizations. However, creating engaging content and publishing it at the right time across several platforms is time-consuming and error-prone. This paper presents the development of an AI Social Media Post Scheduler using the MERN (MongoDB, Express.js, React.js, Node.js) stack. The platform offers a centralized hub where users can generate post captions, hashtags, and ideas using Artificial Intelligence, schedule posts for multiple social media accounts, preview content, and monitor performance through an analytics dashboard. Previous work in this field has largely focused on isolated scheduling tools or standalone content generators, lacking the integration of both capabilities in a single, affordable platform. Our project aims to reduce the effort of social media management by combining AI-assisted content creation with automated, time-based publishing. The paper outlines the design considerations, development methodology, testing procedures, and potential impact of the proposed solution, and discusses directions for future research.