Leveraging AI and Computer Vision for Generating Precise E-Commerce Product Descriptions

With the exponential growth of e-commerce, there comes the need for compelling and detailed product visibility descriptions that improve the customer experience in online marketplaces. The proposed work addresses the inefficiencies of the manual creation of such descriptions by developing an AI-powered system capable of generating precise and multilingual product descriptions directly from images. Our system automatically extracts visual features by incorporating advanced computer vision techniques and natural language processing models and converts them into rich, human-like textual descriptions. The proposed approach is based on the use of state-of-the-art pre-trained deep learning models, ResNet50, and LSTMs, thus offering high accuracy, semantic relevance, and scalability in terms of captions generation. Multilingual support via automatic translation is also a part of the solution, providing access to global markets and allowing sellers to reach out to linguistically diverse audiences. This innovation simplifies the listing process for sellers, empowering them to manage large inventories efficiently while improving product visibility and accessibility. It delivers more intuitive and trustworthy shopping experiences for customers by offering clear and descriptive product information. By addressing the critical challenges posed by quality inconsistency, time inefficiency, and localization, the proposed work establishes a new level of intelligent, inclusive, and scalable product listing solutions that transform the online marketplace into a much more dynamic and accessible one. Extensive experiments with acceptable BLEU and BERT scores validate that the proposed system can generate descriptions that follow customer expectations in quality and context correctness