Fashion-Gen: AI-Based Outfit Classifier
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© 2025 by IJCTT Journal
Volume-73 Issue-4
Year of Publication : 2025
Authors : Krishna Jyothi, Ch. Reshmitha Reddy, A. Manaswi, B. Karthik Yadav, K. Sumanth Reddy
DOI :  10.14445/22312803/IJCTT-V73I4P121

How to Cite?

Krishna Jyothi, Ch. Reshmitha Reddy, A. Manaswi, B. Karthik Yadav, K. Sumanth Reddy, "Fashion-Gen: AI-Based Outfit Classifier," International Journal of Computer Trends and Technology, vol. 73, no. 4, pp. 149-156, 2025. Crossref, https://doi.org/10.14445/22312803/IJCTT-V73I4P121

Abstract
Fashion is a vital part of personal expression. With the rise of e-commerce and virtual wardrobes, there is a growing demand for intelligent systems that can automate outfit classification and recommendation. This research presents Fashion Gen, an AI-based outfit classifier designed to identify and categorize clothing items from images using deep learning. The system employs Convolutional Neural Networks (CNNs) trained on fashion datasets such as Fashion MNIST and DeepFashion to recognize various apparel types. Additionally, the system integrates real-time weather and occasion-based logic to offer personalized outfit recommendations. The model demonstrates high accuracy and practical applicability for use in smart wardrobes, styling apps, and e-commerce platforms. Results show that CNNs outperform traditional classification methods, making this system both reliable and scalable for real-world deployment.

Keywords
AI in Fashion, Convolutional Neural Networks (CNNs), Image Processing, Machine Learning, Outfit classification.

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