Where technology meets fashion: A Smart Walk-In Closet

Where technology meets fashion: A

Smart Walk-In Closet

Choosing what to wear every day can be a hassle. From cluttered closets to weather changes,

the struggle to find the perfect outfit is real and it’s a problem that we all face on a daily

basis. Fashion is a vital part of self-expression, yet managing a wardrobe is a waste of time,

causes stress and results in a fixation on some pieces, other unworn pieces and unreasonable

shopping habits. Despite the influence of fast fashion and growing customization technology,

there’s still to this day no effective solution that blends style, comfort , and sustainability in a

single, seamless experience. This is the gap in the market and it’s time for a much needed

change for the sake of fashion.

This matters more than it may appear. Beyond personal frustration, the lack of closet

management causes larger issues including overconsumption, increased fabric waste, and the

pressure on oneself to constantly stay ‘on trend’. According to the Environmental Protection

Agency , Americans alone throw away over 11 million tons of textiles annually. Additionally,

disorganized wardrobes lead to excessive spending and fabric wastes. while people suffer

from decision making anxiety for having to make too many small decisions, like what to wear

every single day. In addition, a solution to this closet chaos would improve our quick

mornings as well as ,our environmental sustainability and mental health.

Enter the solution, the Smart Walk-In Closet. Powered by advanced artificial intelligence and

automated sensors, this closet transforms getting dressed from a stressful task into a swift and

exciting experience. It’s designed to accommodate the user's individual styles while taking

into consideration mindful consumption.

Here’s how it works: the closet features a dressing platform equipped with full-body scanners

that analyze your facial features, proportions, and color analyses to recommend the most well

suited outfits. It gives suggestions based on the weather, events, and even your mood.

Seasonal wardrobe rotation is automated, racks shift winter clothes forward when

temperatures drop. Self-steaming hangers prepare clothes wrinkle free, while the

accommodating mobile app allows you to plan outfits remotely and beforehand. The app

even notifies you about discounts on items that match your style or stuff you seem to be

interested in.

Sustainability is built in the design. Smart hangers with weight sensors track how often items

are worn, suggesting donation or recycling for neglected pieces. Outfit recommendations

focus on reusing pieces that you already own, and the automated systems minimize the

closet’s electronic consumption. Integration with online businesses enables you to buy

moderately by suggesting complementary pieces That compliment other pieces you already

own rather than fully new outfits, reducing impulsive purchases and fabric waste.

Customization is at the core of the experience. The AI builds your style profile by analyzing

your interactions on fashion-related social media content like, saved posts, Pinterest boards,

and online wishlists, without requiring boring surveys from the user. Unlike other algorithms

used by platforms like TikTok or Instagram, this AI primarily prioritizes fashion, filtering out

unrelated data to collect pure, highly accurate style customization.

Undoubtedly, gathering this much user data brings a few risks including potential

unauthorized access or the misuse of personal information. Undoubtedly, developers of the

Smart Walk-In Closet would prioritize user privacy through encrypted data, two-factor

authentication, and security testing. For users uncomfortable with data collection, there’s an

alternative, a private survey would be available, allowing them to enjoy the smart experience

without digital tracking.

Other concerns include bias and reliability.study shows that AI body scanning technology has

shown up to a 34.4% error rate for darker skin tones, potentially leading to an non inclusive

experience. To solve this dilemma, the system would be trained with diverse groups and

regularly audit it to ensure inclusivity for all users in all shapes and forms. Testing under real

world conditions would help shape the technology to serve all users equally and accurately.

The impact of the Smart Walk-In Closet would be unheard of in the fashion-tech world. Users

would experience swift mornings, more confidence, and reduced clothing waste. The fashion

industry would be pushed towards a more sustainable future, encouraging mindful

consumption by users rather than thoughtless buying. On a bigger scale, it could significantly

help shift cultural attitudes toward fashion.

Fashion is more than fabric, it's individuality, creativity, and culture. By including technology

with self-expression, the Smart Walk in Closet doesn’t just manage your clothes, it

completely changes the way we interact with them. The future of fashion is here, and it’s

smart. Are you ready to step inside?

References:

● Environmental Protection Agency (EPA). “Facts and Figures about Materials, Waste

and Recycling.” United States Environmental Protection Agency, 2023.

https://www.epa.gov/facts-and-figures-about-materials-waste-and-recycling

●

● Buolamwini, Joy, and Timnit Gebru. “Gender Shades: Intersectional Accuracy

Disparities in Commercial Gender Classification.” Proceedings of Machine Learning

Research, 2018. http://proceedings.mlr.press/v81/buolamwini18a.html

● National Institute of Standards and Technology (NIST). “Framework for Improving

Critical Infrastructure Cybersecurity.” NIST, 2018.

https://www.nist.gov/cyberframework

● Baukh, O. (2025, January 9). How Artificial Intelligence is Revolutionizing the

Fashion Industry. Techpacker Blog.

https://techpacker.com/blog/design/how-artificial-intelligence-is-revolutionizing-the-f

ashion-industry/#summary

● Communications, N. W. (n.d.). I Always Feel like My Apps Are Watching Me.

https://www.nyu.edu/life/information-technology/safe-computing/protect-your-privacy

/i-always-feel-like-my-apps-are-watching-me.html

● How to create secure mobile applications? | Star Insights. (2024, September 10).

https://star.global/posts/how-to-create-secure-mobile-apps/

● Janeflewis. (2019, January 17). What’s your Style Personality?

https://www.signatureimage.co.uk/whats-your-style-personality/#:~:text=In%20fact%

2C%20it's%20your%20style,when%20weeding%20a%20client's%20wardrobe.

● Masood, R., Berkovsky, S., & Kaafar, M. A. (2021). Tracking and personalization. In

Springer eBooks (pp. 171–202). https://doi.org/10.1007/978-3-030-82786-1_9

● Team, Q. (2025, January 23). How do social media algorithms work in 2025?

QuickFrame. https://quickframe.com/blog/how-do-social-media-algorithms-work/

● Yellowbrick. (2023, October 6). Assess a client’s style: Proven Methods for effective

evaluation. Yellowbrick.

https://www.yellowbrick.co/blog/fashion-styling/how-to-assess-a-clients-style-proven-

methods-for-effective-evaluation

● OpenAI. (2025). ChatGPT (Jan 28 version) [large language model].

https://chat.openai.com