SYNTHOWEAVE: REVOLUTIONIZING SILK FABRICATION THROUGH AI-DRIVEN SUSTAINABILITY

  • Unique Paper ID: 164664
  • Volume: 10
  • Issue: 12
  • PageNo: 2337-2341
  • Abstract:
  • This study introduces an innovative method for bionic silk fabrication, combining biologically derived silk proteins with state-of-the-art synthetic materials to promote sustainability. We employ genetic engineering to optimize silk-producing organisms, resulting in fibres with enhanced strength and resilience compared to natural silk. Nanotechnology allows for precise nanoscale enhancements, further improving these properties. AI-driven data processing, particularly the Aho-Cora sick algorithm, is utilized for efficient large-scale text processing to optimize silk production. Additionally, we explore the integration of self-healing capabilities within the fabric matrix. Our research highlights the environmental benefits of synthetic silk materials over traditional alternatives, offering a comprehensive overview of advancements that are revolutionizing sustainable textile engineering and material science.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{164664,
        author = {Ajay Manjunath C and M. Vasuki and Dr. T. Amalraj Victoire},
        title = {SYNTHOWEAVE: REVOLUTIONIZING SILK FABRICATION THROUGH AI-DRIVEN SUSTAINABILITY},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {2337-2341},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164664},
        abstract = {This study introduces an innovative method for bionic silk fabrication, combining biologically derived silk proteins with state-of-the-art synthetic materials to promote sustainability. We employ genetic engineering to optimize silk-producing organisms, resulting in fibres with enhanced strength and resilience compared to natural silk. Nanotechnology allows for precise nanoscale enhancements, further improving these properties. AI-driven data processing, particularly the Aho-Cora sick algorithm, is utilized for efficient large-scale text processing to optimize silk production. Additionally, we explore the integration of self-healing capabilities within the fabric matrix. Our research highlights the environmental benefits of synthetic silk materials over traditional alternatives, offering a comprehensive overview of advancements that are revolutionizing sustainable textile engineering and material science.},
        keywords = {Bionic Silk, Genetic Engineering, Nanotechnology, AI-driven Data Processing, Sustainable Textiles},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 2337-2341

SYNTHOWEAVE: REVOLUTIONIZING SILK FABRICATION THROUGH AI-DRIVEN SUSTAINABILITY

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