• Mr. T S Bhagavath Singh
• Srishti K P
• Simran Taj
• Prerana D V
• Sinchana U Hegde

This survey aims to create an AI virtual fashion stylist that designs wardrobe capsules tailored to the client’s preferences, occasions, and weather conditions. Unlike other fashion recommendation models, this approach emphasizes minimalism, sustainability, and personalization, incorporating a mix of clothing and accessories with a virtual try-on option. Future possibilities include an IoT-connected smart mirror for in-store use, allowing customers to "test" outfits without physically trying them on. This paper also reviews current solutions, existing issues, and different approaches, proposing a novel AI-based strategy for fashion styling with minimal resource consumption.

Computer Vision, Natural Language Processing, Augmented Reality, Generative Adversarial Networks, Artificial Intelligence.

"Virtual Fashion Stylist with AI-Generated Wardrobe Capsule Suggestions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.f311-f317, November-2024, Available :http://www.jetir.org/papers/JETIR2411533.pdf

"Virtual Fashion Stylist with AI-Generated Wardrobe Capsule Suggestions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppf311-f317, November-2024, Available at : http://www.jetir.org/papers/JETIR2411533.pdf