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<p>Investigating future and current path in Unlocking Industry 5.0 Geomaterials Heritage in Cameroon via AI-Driven 3D Intelligence and NLP-Based Resource Analysis is of prime attention. This research investigates the application of AI-enhanced 3D visualization and Natural Language Processing (NLP) techniques to analyze and derive actionable insights from the geomaterial heritage resources of Cameroon. The cultural, tourist, and mineral wealth of Cameroon are: bauxite, iron ore, gold, uranium, and oil. By utilizing cutting-edge AI-driven 3D mapping technologies alongside NLP for content analysis, this study seeks to improve the comprehension of the distribution of mineral heritage resources in Cameroon, thereby aiding decision-making in industrial planning. The paper examines the significance of 3D visualization in depicting intricate geographical data and illustrates how NLP can extract information from diverse geospatial datasets. Ultimately, this article highlights the substantial industrial implications of AI and NLP technologies for resource exploration, sustainable development, and strategic industrial advancement in Cameroon.</p>

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Unlocking Cameroon’s geomaterials heritage via 3D AI-driven intelligence and NLP-based resource analysis

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年10月22日

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  • Pascal Muam Mah

摘要

Investigating future and current path in Unlocking Industry 5.0 Geomaterials Heritage in Cameroon via AI-Driven 3D Intelligence and NLP-Based Resource Analysis is of prime attention. This research investigates the application of AI-enhanced 3D visualization and Natural Language Processing (NLP) techniques to analyze and derive actionable insights from the geomaterial heritage resources of Cameroon. The cultural, tourist, and mineral wealth of Cameroon are: bauxite, iron ore, gold, uranium, and oil. By utilizing cutting-edge AI-driven 3D mapping technologies alongside NLP for content analysis, this study seeks to improve the comprehension of the distribution of mineral heritage resources in Cameroon, thereby aiding decision-making in industrial planning. The paper examines the significance of 3D visualization in depicting intricate geographical data and illustrates how NLP can extract information from diverse geospatial datasets. Ultimately, this article highlights the substantial industrial implications of AI and NLP technologies for resource exploration, sustainable development, and strategic industrial advancement in Cameroon.