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Meta is exploring new ways to use artificial intelligence in fashion. Its AI-powered fashion technology aims to help users see how different clothes might look on them without physically wearing them.
Artificial intelligence (AI) is changing the way people shop online. From finding the right outfit to discovering new styles, AI tools are making fashion more interactive. Meta, the company behind Facebook and Instagram, is also exploring how AI can improve the online shopping experience.
One of the most interesting ideas is virtual clothing try-on technology. This feature allows users to see how clothes may look on their bodies through digital images, reducing the need to try on different outfits in person.
How Does Virtual Clothing Try-On Work?
AI-powered virtual try-on technology uses artificial intelligence to create a digital image of a person wearing selected clothing. Depending on the technology, users may be able to upload a photo or use a digital representation of themselves.
The AI system then processes the image and generates a preview of how a particular outfit might look. Users can experiment with different clothing styles, colours and designs before deciding what to buy.
For example, someone shopping for a shirt, jacket or dress online could use a virtual try-on feature to preview the outfit. This could make online shopping easier and help customers make more informed choices.
However, virtual previews may not always show the exact fit, fabric texture or appearance of real clothing.
Build a Digital Wardrobe With Facebook and Instagram
One of Style Sketch's main features is its ability to create a digital wardrobe. Users can connect their Instagram accounts to help the app identify clothing items in photos they have already shared.
Users who do not want to connect their social media accounts can add clothes manually. They can take pictures of their clothing, record short videos or upload images from their phone's gallery.
After creating a digital wardrobe, the app recommends different outfit combinations based on the clothes users own and their personal style. It can also suggest new ways to wear a particular item, such as a jacket, shirt or pair of shoes.
AI Helps Users Plan Daily Outfits and Trips
Style Sketch is not limited to virtual clothing try-ons. The app can also help users decide what to wear each day.
Users can receive outfit suggestions based on the weather. This feature may help them choose suitable clothing for hot, cold or rainy conditions.
The app also includes a travel-planning feature. Users can enter their destination, trip duration and planned activities to receive outfit suggestions for each day of their journey.
For example, someone planning a holiday could use the app to organise outfits for sightseeing, outdoor activities and other events. This could make packing easier and help travellers avoid taking unnecessary clothes.
When Will Style Sketch Be Available Worldwide?
Meta's new fashion app is currently available on iOS and Android in three Southeast Asian countries: Indonesia, Singapore and Thailand.
However, the company has not announced a confirmed date for a wider international launch. Its availability in Bangladesh and other countries remains uncertain.
The launch is part of Meta's broader efforts to develop more consumer-facing AI applications. By connecting AI tools with services such as Instagram, the company is exploring new ways to make artificial intelligence useful in everyday life.
What Does This Mean for the Future of Fashion?
AI-powered fashion tools could change how people organise their wardrobes and choose their daily outfits. Instead of buying new clothes whenever they need a different look, users may be able to create fresh combinations from items they already own.
Virtual try-on technology could also help people explore different styles before getting dressed. However, digital previews cannot always guarantee how a garment will fit or feel in real life.
For now, Style Sketch represents another step towards combining AI with everyday fashion. If Meta expands the app to more countries, it could attract users who want a simpler way to organise their clothes, discover outfit ideas and plan what to wear.
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