Unseen Truths: Decoding Personal Behaviours and Societal Patterns through AI-Driven Garbage Investigation

Abstract

Gamal E.O. Elhag-Idris

Garbage, often considered worthless, contains untold stories of personal lives, societal norms, and economic patterns. Through AI- driven garbage analysis, this article examines how waste can uncover eating habits, health behaviors, psychological tendencies, and wealth indicators. It explores the integration of AI in sorting and interpreting waste data, offering new frontiers in waste recycling management, public health monitoring, and environmental sustainability. While the potential benefits are vast, the practice raises critical questions about privacy and ethical data use. This paper provides a comprehensive overview of garbage investigation, highlighting its transformative role in shaping future policies and technologies in waste management [1].

Objective To explore the hidden narratives within garbage and how it reveals personal health, behaviour, privacy concerns, and societal trends. The article also examines how Artificial Intelligence (AI) transforms waste analysis into a tool for social, environmental, and economic insights while addressing ethical challenges [1].

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