Student Capstone Project 路 Spring 2026
AIr猫: Reimagining Fashion Through Intelligence
Buying the outfit is only one decision. AIr猫 helps users understand how a fashion item fits their wardrobe, lifestyle, and long-term ownership journey.
The Problem
Fashion decisions need more context.
Students shop for real moments: class presentations, internship interviews, dinners, club events, parties, and weekend trips. Yet the hard questions continue before and after checkout.
Will a piece work with what they already own? Can it be styled more than one way? Is it worth keeping, repairing, or eventually reselling?
The Solution
AI across the full fashion lifecycle
AIr猫 connects styling, virtual try-on, wardrobe intelligence, resale value, and repair guidance in one decision-support experience.
Upload an avatar and clothing item to preview a potential look.
Generate outfit ideas from the clothes the user already owns.
Estimate resale value and examine trends for higher-value items.
Consider whether an item should be repaired, kept, or resold.
How AIr猫 Works
One platform for the life of every piece
The four capabilities are connected around the same ownership journey鈥攏ot added as isolated AI features.
Explore whether a piece fits the user's needs and personal style.
Preview a clothing item with an uploaded avatar before deciding.
Build outfits using pieces that are already in the wardrobe.
Make each piece work across more moments and occasions.
Consider repair before automatically replacing a damaged item.
Understand resale potential when an item is no longer being used.
From Retail Assistants to Fashion Intelligence
The idea started with guided shopping.
Andrea and Barbara studied Amazon Rufus and Magic Apron by Home Depot, then carried conversational guidance into the fashion lifecycle.
The workshop explored how AI can improve customer decision-making throughout the shopping journey. The team saw an opportunity to move beyond finding more products and instead help customers understand how an item fits their wardrobe, lifestyle, and long-term plans.
AIr猫 combines retail intelligence with a visual identity inspired by Y2K websites, dress-up games, Clueless, futuristic fashion technology, and AWGE.
Why It Matters
Ask better questions than 鈥淲hat should I buy next?鈥
Building Responsibly
Fashion AI is also a trust problem.
- Virtual sizing and try-on results may be inaccurate.
- Resale prices can change over time.
- AI may not reliably authenticate luxury products.
- Avatar and wardrobe uploads create privacy considerations.
With Gratitude
Thank you to Professor Kirthi Kalyanam
Andrea and Barbara thank Professor Kirthi Kalyanam and the Retail Management Institute at SA国际传媒 for creating a workshop where students could combine retail analysis, creative design, and responsible AI thinking.