True Fit
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Date
2025
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Publisher
UMT, Lahore
Abstract
The artificial intelligence (AI) and complex algorithms of the mobile application True Fitdetermine when online apparel delivery consumers are likely to order intended-size ofclothing. Its platform ensures that the problem of online shopping is only an obstacle ofwhich size to choose from garments and this is because users are able to solve the problem.To this end, computer vision in conjunction with machine learning is used whenperforming the body point recognition in uploaded images as well as the application of themeasurement capture procedure.
The site provides a solution to the common problem of online fashion buying as it connectsuser's related measurement data with standard size charts of popular fashion brands. Thebasic operations of True Fit like landmark identification and image processing occurs usingthe landmark identification tool utilizing MediaPipe, OpenCV platforms supported byTensorFlow machine learning libraries. The technological union allows for exactmeasurements on several types of hardware and same results.
The technical correctness and the operating and fighting efficiency of the merchant and itscustomers are improved by True Fit. The program reduces costs and continues to produceproductive shopping processes due to it being able to achieve better length and widthmeasurements. Under such market conditions, the system empower online businesses tobuild their customer partner relations in order to provide individual users with with higherbusiness performance.
The latest True Fit app uses artificial intelligence to bridge the gap between the onlineshopping experience and in stock fit experience in digital fashion as well as improve trustlevels and convenience and personalization features for consumers.