1 publication

• Published Subscription Original Research 5 May 2025

  Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review

  By Shruti Vivekanand Chavan, Janhavi Santosh Pardeshi, Shubhangi Nivrutti Pingle, Raksha Sandip Sonawane, Vipin K. Wani

  Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …

  Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article →