An AI-Powered Personalised Clothing Recommendation Using Deep Learning
This work presents a fashion recommendation assistant based on AI that is designed to enhance the process by which users select pairs of clothing. Utilizing advanced machine learning and computer vision techniques, it analyzes uploaded images of articles of clothing in an effort to automatically provide complimentary fashion suggestions. The system is designed to present users with personalized fashion suggestions for outfits that are not only visually appealing but also contextually appropriate. Utilizing a specially trained Convolutional Neural Network (CNN) for image classification and color analysis, it correctly identifies clothing categories and color schemes. The outcome of the experiment demonstrates its success in providing consistent fashionrecommendations and thereby serving as a useful tool in the fashion technology sector.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-08
- DOI
- https://doi.org/10.5281/zenodo.15361856
- Primary Topic
- Generative Adversarial Networks and Image Synthesis
- Type
- article
- Field-Weighted Citation Impact
- 0.00