Effectiveness of Generative AI in Processing Antique Coin Imagery: A Quantitative Study
Adithya Vikram Sakthivel
Adithya Vikram Sakthivel, XUVI Technology Labs, Chennai (Tamil Nadu), India.
Manuscript Received on 26 May 2025 | First Revised Manuscript Received on 08 June 2025 | Second Revised Manuscript Received on 17 June 2025 | Manuscript Accepted on 15 July 2025 | Manuscript published on 30 July 2025 | PP: 1-4 | Volume-15 Issue-3, July 2025 | Retrieval Number: 100.1/ijsce.C368015030725 | DOI: 10.35940/ijsce.C3680.15030725
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper explores how NeuraSoul, a multimodal AI system with emotional memory, intersects with behavioural economics to shape consumer decision-making. AI-driven features such as personalised recommendations and targeted advertising are rooted in behavioural design, strategically crafted to influence purchasing behaviour. Case studies of organisations like Amazon, Netflix, and Google offer valuable insights into how AI engages with buyer psychology. While NeuraSoul and similar technologies enable deeper personalisation and business optimisation, they also raise significant concerns regarding data privacy and potential psychological manipulation. This research aims to examine the functional role of AI within these domains, evaluate its psychological and economic impacts, and uncover the mechanisms through which it exerts influence. Ultimately, the findings will shed light on how AI, such as NeuraSoul, transforms consumer behaviour and what that transformation means for modern businesses.
Keywords: Generative AI, Numismatics, Image Processing, Classification Accuracy.
Scope of the Article: Artificial Intelligence