• Vishnupriya A V
• Sangamitra S
• Sathish M
• Tharini Mala S K
• Venkat Raman P

The fashion industry is constantly evolving with new trends and styles emerging every season. To keep up with the latest trends, fashion trend recommender systems are gaining popularity. This paper proposes a fashion trend recommender system using machine learning algorithms in a MERN stack. The system utilizes user data, including purchase history and browsing behavior, to recommend clothing items and outfits that are in line with the latest fashion trends. The MERN stack provides a robust framework for the system, enabling efficient development and deployment of the application. The machine learning algorithms used in the system include collaborative filtering and content-based filtering, which provide accurate and personalized recommendations to users. The system's accuracy and effectiveness are evaluated through user testing, which demonstrates its ability to provide valuable recommendations to users, thereby enhancing their shopping experience. Overall, the proposed system provides a unique and effective solution to the ever-evolving fashion industry.

Fashion, Recommender, MERN, Image processing

"A TREND RECOMMENDER USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.e432-e441, May-2023, Available :http://www.jetir.org/papers/JETIR2305460.pdf

"A TREND RECOMMENDER USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppe432-e441, May-2023, Available at : http://www.jetir.org/papers/JETIR2305460.pdf