Intelligent System for Content Diffusion and Distribution on Social Networks Using Process Automation Through Software-Based Robots (RPA)

This project addresses the inefficiency and manual effort involved in managing and controlling content flow across multiple social media platforms, a growing challenge given the importance of social marketing and the widespread adoption of platforms like Facebook, Twitter, Instagram, and TikTok. The primary goal is to substantially improve the efficiency and reach of content dissemination for the Research, Innovation, and Entrepreneurship Ecosystem. To achieve this, the development of an advanced IT system leveraging Artificial Intelligence (AI) and Robotic Process Automation (RPA) techniques is proposed. This system will automate the timely and strategic publication of content, ensuring its prolonged circulation to maximize visibility and impact. The software development will follow the Waterfall methodology, beginning with rigorous requirements analysis to align the system with stakeholder needs. Subsequent phases include modular system and program design, coding, thorough testing, and post-implementation maintenance, ensuring a robust final product aligned with digital dissemination objectives.<br/><br/><b>Goal</b>: <br/>Develop an IT system integrating Artificial Intelligence and Robotic Process Automation (RPA) techniques to systematize and automate the efficient dissemination and distribution of content generated by the Research, Innovation, and Entrepreneurship Ecosystem across various social media platforms.<br/><br/><b>Research lines</b>: <br/>Computer systems and artificial intelligence