TY  - BOOK
AU  - 	Defita,Carlos James Silvestre; Tancioco,Angelo Cedeño
TI  - Tailoraide: A regression analysis-based system for predicting cost estimation in the clothing industry
AV  - T58.5 D44 2025 
U1  - . 
PY  - 2025///
CY  - .
PB  - .
KW  - academic writing
N1  - ABSTRACT: This project, named “TailorAIDE”: A regression Analysis-Based System for Predicting Cost Estimation in the Clothing Industry,” aims to create a system that allows garment business owners, pattern creators, and tailors to manage their enterprises more effectively. Allowing them to stay one step ahead of their designs, patterns, and cost management by providing them with an online workspace where they can access all three elements in one sitting. The system employs extensive material usage by feeding it patterns that are measured using smart patterns making and measuring software’s. Seamly2D and SeamlyME. Helping users optimize fabric efficiency, ensure accurate measurements, and save waste. Furthermore, the system provides a digital workplace in which individuals can completely express their creativity in design making. Using Drag and Drop capability, there are various established patterns, as well as fully customizable shapes, shape colors, texts, and text colors. Furthermore, the adoption of Machine Learning enables business owners and aspiring entrepreneurs to forecast their cost breakdowns for each project, ensuring optimal financial allocations. The system conducts a survey using Google Forms, with the study’s target respondents being IT professionals, garment business owners, fabric/textile manufacturers, tailors, and dressmakers. The results revealed that there is a market gap for business owners who concentrate on money management rather than patternmaking, and vice versa. And utilizing ISO/IEC 25010 as a model assessment for software quality, focusing on functional suitability, and performance efficiency. The results returned a satisfactory score, indicating that TailorAIDE is an effective online workplace for its users by offering smart pattern layouts, design workplace and cost predictions; F
ER  -