Copyright © 2023 The Author(s): This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY-NC 4.0) which permits unrestricted use, distribution, and reproduction in any medium for non-commercial use provided the original author and source are credited. International Journal of Scientific Research in Computer Science, Engineering and Information Technology ISSN : 2456-3307 Available Online at :www.ijsrcseit.com doi : https://doi.org/10.32628/IJSRCSEIT 250 ML–Based Outfit Suggestion System Chandrakant D. Kokane 1 , Aadit Rode 2 , Rushikesh Sangale 3 , Jaysri Rathod 4 , Sonu Khapekar, Vilas V. Deotare 1,2,3,4,5,6 Nutan Maharashtra Institute of Engineering and Technology, Talegaon(D), Pune, Maharashtra, India A R T I C L E I N F O A B S T R A C T Article History: Accepted: 10 Oct 2023 Published: 30 Oct 2023 Fashion plays a vital role in our daily lives, reflecting personal style and identity. In the realm of fashion and personal style, individuals often grapple with the challenges of selecting outfits that complement their unique body type and body shape. The process of curating a stylish and flattering wardrobe can be time- consuming and daunting, resulting in decision paralysis and a lack of confidence in one's appearance. To address these issues, this project aims to develop an ML– based Outfit Suggestion system. we present a novel ML-based outfit suggestion system that addresses this challenge. Leveraging a comprehensive dataset of clothing items and body shape analysis, our system employs state-of-the-art deep learning, computer vision, and natural language processing techniques. Our system tailors outfit recommendations on the basis of users body type and body shape to meet individual needs. This research contributes to the advancement of fashion recommendation systems, offering a promising solution for fashion- conscious individuals seeking personalized outfit suggestions in diverse contexts. Keywords - Fashion Recommendation, Clothing Recommendation, Deep Learning, Natural Language Processing, Fashion Dataset, Body Shape Analysis, Body Type Analysis. Publication Issue Volume 9, Issue 10 September-October-2023 Page Number 250-257 I. INTRODUCTION Fashion, an ever-evolving and deeply personal aspect of human life, plays a vital role in shaping individuals' identities and self-expression. The way we dress often serves as a canvas through which we communicate our style, personality, and cultural affiliations. However, navigating the world of fashion and selecting outfits that not only align with one's personal preferences but also complement their unique body type and shape can be a challenging and sometimes overwhelming task. This challenge is compounded by the vast and ever-expanding array of clothing options available in the market, making it increasingly difficult for individuals to make confident and informed fashion choices.