SYNTHOWEAVE: REVOLUTIONIZING SILK FABRICATION THROUGH AI-DRIVEN SUSTAINABILITY

SYNTHOWEAVE: REVOLUTIONIZING SILK FABRICATION THROUGH AI-DRIVEN SUSTAINABILITY
Author(s):
Ajay Manjunath C, M. Vasuki, Dr. T. Amalraj Victoire
Keywords:
Bionic Silk, Genetic Engineering, Nanotechnology, AI-driven Data Processing, Sustainable Textiles
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.
Article Details
Unique Paper ID: 164664 Publication Volume & Issue: Volume 10, Issue 12 Page(s): 2337 - 2341
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NCSEM 2024

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