Outfit Combiner

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  demo

Inspiration

Choosing what to wear is something everyone does daily, but for people who struggle with indecisiveness—especially conditions like aboulomania—it can become overwhelming and stressful. We were inspired by how such a small decision can consume time, reduce confidence, and impact productivity. We wanted to simplify this everyday problem and remove the mental burden behind it.

What it does

Outfit Recombiner is an AI-powered app that generates outfit combinations from a user’s wardrobe. Instead of manually deciding, users get instant, ready-made outfit suggestions. The app reduces decision fatigue, saves time, and helps users feel confident in their choices.

How we built it

We built the app using a structured approach to recombine clothing items into valid outfits. Each item is categorized (e.g., tops, bottoms, shoes), and combinations are generated programmatically.

At its core, the number of possible outfits can be modeled as:

$$ \text{Total Outfits} = T \times B \times S $$

where (T) = number of tops, (B) = bottoms, and (S) = shoes.

We implemented logic to filter and refine these combinations so they are not just mathematically possible, but also stylistically reasonable. The front-end allows users to input/select clothing items, while the back-end handles the combination logic.

Challenges we ran into

One major challenge was ensuring that generated outfits actually made sense. A purely combinational approach can produce unrealistic or mismatched outfits, so we had to think beyond simple logic and consider style compatibility.

We also faced challenges with organizing clothing data and maintaining performance while generating multiple combinations quickly.

Accomplishments that we're proud of

We’re proud of building a working solution to a real-world problem within a limited time. The app successfully transforms a frustrating daily task into a quick and simple experience. We also collaborated effectively as a team, turning an idea into a functional product.

What we learned

We learned how to break down a real-world problem into a technical solution and balance logic with user experience. We also improved our teamwork, time management, and problem-solving skills under pressure.

Additionally, we realized that not all problems can be solved with pure computation—sometimes human factors like style and perception matter just as much.

What's next for Outfit Recombiner

Next, we plan to enhance the app with machine learning to personalize outfit recommendations based on user preferences, weather, and trends. We also want to integrate image recognition so users can upload photos of their clothes, and add features like outfit planning and daily recommendations.

Built With

• css
• node.js
• react
• typescript