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📅 October 30–31, 2026 📍 Hybrid (In-person + Online)
2nd International Conference on Transformative Research (ICTR-2026) Organized by NERD Publication
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Author(s)Deepa Parameswaran
Pages39

Abstract

Handmade textiles have long been central to India's cultural and economic identity, offering sustainable alternatives to industrially produced fabrics. However, in an era of climate urgency, their limited scalability and the lack of awareness of their potential to mitigate climate change present a challenge. While handmade fabric production is inherently sustainable-relying on natural fibers, minimal energy consumption, and eco-friendly techniques-the sector struggles with quality inconsistencies, high labor costs, and inefficiencies that limit its ability to compete in global markets. This paper examines how artificial intelligence (AI) can optimize handmade textile production without disrupting the authenticity of craftsmanship. Drawing from pre-British-era artisan manufacturing models, it highlights how historically decentralized yet organized structures enabled scalable, high-quality textile production. Unlike today's fragmented supply chains, these earlier systems thrived on collaborative production, skill-based specialization, and local trade networks, ensuring artisans focused on manufacturing while merchants handled distribution. The paper argues that reintroducing these traditional models, enhanced with AI-driven quality assessment, defect detection, and precision weaving, can improve efficiency and scale while retaining artisan agency. Beyond environmental sustainability, the expansion of handmade textiles holds significant economic and social benefits. Scaling this sector can reduce inequality by creating decentralized employment and strengthen the cultural economy by preserving traditional skills. Furthermore, handmade fabrics, crafted with natural dyes and organic materials, contribute to human health and well-being. The paper presents a policy framework for AI integration in handmade textile production, ensuring scalability while maintaining ecological, economic, and cultural integrity. By leveraging technology without over-automation, India's artisan economy can become a cornerstone of sustainable fashion and climate-conscious textile production.

Cite this paper

Parameswaran, D. (2026). AI-Enhanced Handlooms: Scaling Handmade Textile Production for Sustainability, Economic Equity, and Climate Resilience. Proceeding of ICTR-2025 ICTR-2025, 39.
Deepa Parameswaran. "AI-Enhanced Handlooms: Scaling Handmade Textile Production for Sustainability, Economic Equity, and Climate Resilience." Proceeding of ICTR-2025 ICTR-2025, 2026, pp. 39.
@article{DeepaParameswaran2026, title={AI-Enhanced Handlooms: Scaling Handmade Textile Production for Sustainability, Economic Equity, and Climate Resilience}, author={Deepa Parameswaran}, journal={Proceeding of ICTR-2025 ICTR-2025}, pages={39}, year={2026} }

Published in

Proceeding of ICTR-2025 ICTR-2025

Published by NERD Publication
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Conference

2nd International Conference on Transformative Research (ICTR-2026) (ICTR)

DatesOctober 30–31, 2026
VenueINDIA

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