Drapelyt
Mobile App

Project Type
Concept Study
Industry
E-commerce
Services
Mobile App & AI Design

Overview

Drapelyt explores personal wardrobe through a mobile experience built around an outfit collage with swipeable garment cards. A personal wardrobe app for visual clothing organization, explained outfit suggestions and capsule packing. The proposed journey connects wardrobe capture, outfit studio, packing edit, closet library. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed React Native architecture.

Drapelyt Mobile App hero

Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.

Challenge

A wardrobe assistant needs reliable item records and user control over style suggestions, especially when photographs are incomplete. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.

  • Keep wardrobe capture and outfit studio connected within a short mobile flow.
  • Make garment recognition correctable when the model misreads the input.
  • Explain visual similarity through visible references or user-selected preferences.
  • Keep changes, sharing and data retention under explicit user control.

Solution

The design begins with an outfit collage with swipeable garment cards, using large touch targets, short task sequences and contextual sheets. Suggest category and color tags from clothing photographs. Combine saved items around the user's stated occasion. The companion views keep drafts, original material and accepted decisions distinct. A plum, pale pink and charcoal visual system gives this app its own character within the collection.

  • Suggest category and color tags from clothing photographs.
  • Combine saved items around the user's stated occasion.
  • Retrieve alternatives from the user's own wardrobe.
  • Draft a packing list from chosen days and repeat-wear preferences.

Results

  • 4

    Original mobile
    showcase views

  • 12

    Designed
    feature areas

  • 4

    Proposed AI
    workflows

Let’s CraftingVisual ImpactStart a Project

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Drapelyt
Mobile App

Project Type
Concept Study
Industry
E-commerce
Services
Mobile App & AI Design

Overview

Drapelyt explores personal wardrobe through a mobile experience built around an outfit collage with swipeable garment cards. A personal wardrobe app for visual clothing organization, explained outfit suggestions and capsule packing. The proposed journey connects wardrobe capture, outfit studio, packing edit, closet library. Four original phone showcases establish the visual direction, while the case study defines the supporting feature set and a proposed React Native architecture.

Drapelyt Mobile App — hero

Original mobile interface concepts with fictional content. AI responses illustrate proposed interactions; they are not live model results.

Challenge

A wardrobe assistant needs reliable item records and user control over style suggestions, especially when photographs are incomplete. On a phone, the person also needs to capture information quickly, understand where an answer came from and return to the original material without navigating through a dense desktop interface.

  • Keep wardrobe capture and outfit studio connected within a short mobile flow.
  • Make garment recognition correctable when the model misreads the input.
  • Explain visual similarity through visible references or user-selected preferences.
  • Keep changes, sharing and data retention under explicit user control.

Solution

The design begins with an outfit collage with swipeable garment cards, using large touch targets, short task sequences and contextual sheets. Suggest category and color tags from clothing photographs. Combine saved items around the user's stated occasion. The companion views keep drafts, original material and accepted decisions distinct. A plum, pale pink and charcoal visual system gives this app its own character within the collection.

  • Suggest category and color tags from clothing photographs.
  • Combine saved items around the user's stated occasion.
  • Retrieve alternatives from the user's own wardrobe.
  • Draft a packing list from chosen days and repeat-wear preferences.

Results

  • 4

    Original mobile showcase views

  • 12

    Designed feature areas

  • 4

    Proposed AI workflows

Let’s Crafting

Visual Impact

Start a Project