Cognicraft: A Cognitive Computing Framework for Real-Time Craftsmanship

Authors

  • Manish Rana, Suresh R. Mestry, Shailesh Sangle , Prakash J. Parmar, Avinash Shrivas

Keywords:

Cold supply chain, Food safety, Traceability of Food, Smart Technology, Blockchain- based Solution, Digital technologies;

Abstract

The abstract encapsulates the theoretical foundations, potential applications, and challenges of CogniCraft, a cognitive computing framework designed for advancing real-time craftsmanship. Grounded in insights from a comprehensive literature review, the theoretical architecture of CogniCraft integrates key cognitive computing elements, including real-time data processing, machine learning algorithms, a decision engine, and an adaptive interface. The framework holds theoretical significance across diverse domains, promising to enhance decision-making precision and craftsmanship improvement in healthcare, manufacturing, finance, emergency response, and customer service. Theoretical comparisons with existing frameworks underscore CogniCraft's potential advantages in agility, adaptability, and cognitive intelligence. However, theoretical challenges encompass interpretability, ethical considerations, scalability, and practical implementation complexities. Future research recommendations emphasize empirical validation, ethical refinement, user-centric design, and phased deployment strategies. As a theoretical exploration, CogniCraft emerges as a transformative force poised to shape the future of real-time craftsmanship through its cognitive capabilities, though practical validation and ongoing refinement are imperative for its successful integration into real-world applications.

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Published

12.06.2024

How to Cite

Manish Rana. (2024). Cognicraft: A Cognitive Computing Framework for Real-Time Craftsmanship. International Journal of Intelligent Systems and Applications in Engineering, 12(4), 3024–3037. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/6795

Issue

Vol. 12 No. 4 (2024)

Section

Research Article

License

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