SIMULTANEOUS NEUROSCIENTIFIC ANALYSIS AND ARTIFICIAL INTELLIGENCE-BASED PACKAGING EVALUATION PLATFORM: NEUROPACK

This study examines the academic and commercial contributions of NeuroPack, an AI-powered neuromarketing platform that aims to analyze consumer behavior in more depth. Integrating neurophysiological data collection methods such as EEG and eye-tracking with AI algorithms, this system aims to optimize packaging design processes based on scientific data. In the study, the architectural structure, application processes, graphical outputs, and ethical compliance of NeuroPack are examined in detail, and the potential impacts it can create in both academic literature and industry are discussed. The findings reveal that the system provides significant contributions to marketing indicators such as packaging design, attention-grabbing, and emotional response. In addition, NeuroPack's data security, compliance with ethical standards, and decision support mechanisms offered to the user support the sustainability of the system. In this context, NeuroPack is positioned as a high-value, ethically based, and data-driven platform for both academic research and commercial applications in the field of neuromarketing.