Goal-Oriented Social Feed Optimizer

Abstract

In recent years, social media platforms such as YouTube, Instagram and Facebook have become indispensable sources of information, learning, and entertainment. However, the recommendation algorithms used by these platforms are optimized for engagement rather than productivity, often exposing users to irrelevant and distracting content. This results in loss of focus, reduced learning efficiency, and increased screen time without meaningful outcomes. This paper proposes Goal-Oriented Social Feed Optimizer (GOSFO), an AI-based system that aligns digital content consumption with user-defined learning or career objectives. The system integrates Natural Language Processing (NLP), semantic similarity models, and browser automation to identify, filter, and promote goal-relevant content while suppressing irrelevant distractions. Experimental usage demonstrates improved relevance in content recommendations and increased productive screen time.