AI-Driven Personalized Recommendation System for E-commerce Platforms

In the rapidly evolving E-commerce & Online Retail industry, personalization is a key differentiator. Our company has identified a critical need to implement a sophisticated AI-driven recommendation system to improve user engagement and conversion rates. This project entails the development of a personalized recommendation engine utilizing large language models (LLMs), computer vision, and predictive analytics to analyze and predict user preferences with high accuracy. By integrating key technologies such as OpenAI API, TensorFlow, and PyTorch, the system will dynamically suggest products, enhancing the shopping experience and driving sales. With the incorporation of NLP and edge AI, the system will also provide real-time, context-aware recommendations, ensuring users find products they are most likely to purchase. The project is aligned with our strategic goal of leveraging AI to create a competitive advantage in the crowded online retail space.