gives GitHub visitors an instant clear picture of what the tool does, uses relevant industry keywords (FOB, CMT, TNA, merchandiser), and the emoji makes it visually stand out in search results.
An AI-driven garment swing line planning and style analysis system built with Laravel that compares garment styles, generates similarity matrices, automates line loading sequences, and optimizes factory production efficiency by reducing machine changeover and improving workflow stability.
A smart merchandising planning visualization system for garment factories that transforms Excel-based planning sheets into real-time swing line visualization, layout monitoring, and production gap analysis. Designed to improve planning accuracy, reduce manual work, and enhance factory production efficiency through automated data processing and visu
DHU (Defects Per Hundred Units) calculator for garment industry QC (npm + PyPI).
CMT (Cut, Make, Trim) cost calculator with country comparison — Bangladesh, India, Vietnam, USA, etc. (npm + PyPI).
Sewing line efficiency calculator — efficiency %, target output, required workers, line balance (npm + PyPI).
ISO 2859-1 AQL sampling calculator for garment industry QC (npm + PyPI). Cross-verified against QIMA reference.
Fabric consumption calculator — knit (GSM × area) and woven (marker length) methods with wastage (npm + PyPI).
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