Computer vision system that analyzes fabric patterns, detects defects in real-time manufacturing, and generates new textile designs using generative adversarial networks.

A comprehensive collection of AI/ML solutions for textile manufacturing, including defect detection, demand forecasting, and worker assistance systems.

Automated surface defect detection system for textiles using a hybrid approach of Digital Image Processing (DIP), CNNs, and Autoencoders (Unsupervised Learning).

enerative art collection on fxhash. Algorithmically created digital artworks using p5.js and JavaScript. Each piece is unique, powered by controlled randomness.

AI-powered agent built with Gemini 1.5 Flash to streamline quality checks and marketing for the textile industry.

Power BI dashboard & SQL analysis of $53M Bangladesh textile export data. Portfolio project for data analytics transition.

A modern web-based calculator that estimates fabric requirements for BJJ Gis using Sialkot factory standards, including waste calculations, roll width conversion, and GSM validation.

Study on faults of knitted fabrics covering identification, causes, and preventive measures. Includes defects like holes, barre, slubs, dropped stitches, yarn faults, and fabric distortion. Analyzes yarn quality, machine settings, and process parameters with solutions to improve fabric quality and production efficiency in textile manufacturing.

Plataforma e estudo de caso para adequacao ao Digital Product Passport com IA aplicada.

Study on faults of woven fabrics focusing on identification, causes, and preventive measures. Covers defects such as broken ends, broken picks, mispicks, reed marks, selvedge defects, and fabric distortion. Analyzes yarn quality, loom settings, and process parameters to improve fabric quality, reduce defects, and enhance weaving performance.

A comprehensive study on maintenance tools used in fabric manufacturing machinery, including safety tools, measuring instruments, hand tools, lubrication systems, applications, and maintenance practices for improving efficiency, safety, troubleshooting, and machine performance in the textile industry.