Survey on Textile Waste Valorization for a Circular Fashion Ecosystem

Author(s)	Kanksha R K, Namratha V Naik, Rachana B S, Priyanka H V
Country	India
Abstract	India’s textile industry is one of the largest in the world, employing millions and producing nearly 1.3 million tons of pre-consumer waste annually. Despite its scale, most of this waste—comprising offcuts, rejected fabrics, and defective batches—remains unutilized, contributing to serious ecological and economic challenges. This paper investigates an artificial intelligence (AI)-driven approach to valorize textile waste by integrating lightweight deep learning models, generative design, and geospatial analytics into a single mobile-based framework. The proposed model performs image-based classification of textile scraps using MobileNetV3, generates culturally relevant upcycling suggestions through StyleGAN2, and employs a geospatial graph optimization algorithm to connect factories with nearby artisan clusters. Beyond waste reduction, the system empowers artisan communities and supports India’s transition toward a circular economy aligned with the National Resource Efficiency Policy (2023) and the United Nations Sustainable Development Goals (SDGs). This work demonstrates how AI can transform textile waste from an environmental liability into a socially beneficial, economically viable resource stream.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 17, Issue 1, January-March 2026
Published On	2026-02-16

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