Innovations in the Sneakers Industry and Leveraging Machine Learning Models for Predictions

Tanmay Gautam

Abstract: The shoe industry has been a vital part of global fashion, leading to a diverse range of footwear styles tailored to meet the ever - evolving needs and preferences of consumers worldwide. With the rapid integration of cutting - edge technology and AI, the shoe industry has witnessed groundbreaking innovations in materials, manufacturing and personalized design solutions, increasing comfort, performance and much more. This paper highlights the vast world of artificial intelligence in the footwear industry. Machine learning algorithms are used in this paper to predict the sale price of sneakers from a publicly available database. Among the algorithms considered, the XGBoost Regressor algorithm was found to be the most effective producing the maximum accuracy. This paper has delved into the fascinating world of algorithms and testing its effectiveness and reviewed their weaknesses and strengths. As technology advances, we can expect further innovations in algorithm development leading to more accurate and versatile models pertaining to the footwear industry.

Keywords: Machine learning, Sneakers, Futuristic shoes, ML algorithms

How to Cite?: Tanmay Gautam, "Innovations in the Sneakers Industry and Leveraging Machine Learning Models for Predictions", Volume 12 Issue 8, August 2023, International Journal of Science and Research (IJSR), Pages: 1014-1018, https://www.ijsr.net/getabstract.php?paperid=SR23809000411, DOI: https://dx.doi.org/10.21275/SR23809000411