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PROJECT 03 / Everyday / independent

OOTD.

A little less “what should I wear?”

A personal wardrobe companion combining local organisation and on-device intelligence with cloud-assisted features.

  • Flutter
  • Riverpod
  • Hive
  • TensorFlow Lite
THE WARDROBE / A STUDY IN COMBINATIONS

Fewer decisions.
More combinations.

Illustrated sample wardrobe
01 / PURPOSE

What it makes possible.

Make the wardrobe you already own easier to catalogue, search and use when putting together an outfit.

  • Capture and organise clothing in a personal wardrobe.
  • Use on-device processing alongside cloud-assisted outfit and image features.
  • Bring wardrobe management and outfit creation into a mobile experience.
02 / ARCHITECTURE

Under the surface.

  1. 01

    Flutter and Riverpod structure the mobile interface and application state.

  2. 02

    Hive stores local wardrobe data; TensorFlow Lite supports on-device functionality.

  3. 03

    Express, MongoDB, cloud object storage and AI services support connected features.

03 / ENGINEERING DECISIONS

The deliberate choices.

  • Keep useful wardrobe functionality available locally.
  • Separate local storage concerns from remote image and intelligence services.
04 / OUTCOME & STATUS

Where it stands.

An iOS wardrobe application combining local wardrobe management with connected outfit and image features.

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