Date of Publication :25th June 2024

Abstract:The Proposed System aims to develop a robust and feature-rich E-commerce platform empowered by the MERN stack, augmented with an ingenious machine learning (ML) based fashion recommendation system integrated with outfit recognition capabilities. The overarching objective is to furnish users with an immersive and personalized shopping experience finely attuned to their unique fashion inclinations. The robust foundation of the website is rooted in the MERN stack, ensuring not only scalability but also efficiency in its architecture. MongoDB, renowned for its flexibility and scalability, serves as the database management system, adeptly handling the storage of product information and user data. Meanwhile, Express.js and Node.js orchestrate the server-side logic and API functionalities, ensuring seamless communication between the client and server. The dynamic and responsive user interface is crafted using React.js, a powerhouse JavaScript library, facilitating fluid interactions and rapid updates, thereby enhancing user engagement. Moreover, the integration of a ML-based fashion recommendation system elevates the platform's allure and functionality. This innovative system harnesses the power of machine learning algorithms to scrutinize user behavior, preferences, and historical purchase data, thereby discerning intricate patterns and trends in fashion choices. Leveraging advanced image recognition techniques, the system can identify clothing items within user-uploaded images or through live camera feeds, thereby delving deeper into individual styles and preferences.

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