Smart Cart: Revolutionizing E-Commerce in India with AI-Powered Personalized Product Recommendations Overview

The rapid evolution of e-commerce has intensified the need for effective personalization to enhance user experience. This paper introduces SmartCart, an innovative website that integrates cutting-edge AI technologies to provide personalized product recommendations based on image uploads. Users can interact with the platform by uploading images of products they like and selecting from various AI models designed for different recommendation tasks. These models include convolutional neural networks (CNNs) for image similarity analysis and generative adversarial networks (GANs) for contextual product suggestions. SmartCart leverages these technologies to offer highly relevant and visually similar product recommendations, aiming to improve user satisfaction and engagement. Despite its advancements, SmartCart faces limitations inherent to AI in e-commerce. Challenges such as the variability in image quality, the need for extensive training data, and potential biases in model predictions can impact the accuracy and relevance of recommendations. Additionally, the system's effectiveness is constrained by the diversity of user preferences and the capability of AI models to generalize across different product categories. This paper explores how SmartCart addresses these challenges and discusses future directions for improving AI-driven recommendation systems in the context of e-commerce.