Personalized Shopping Cart Assisted with Recommendations and Real Time Cart Updates

This paper presents a smart shopping system that benefits users to alleviate the challenges of long queues and providing personalized recommendations based on their purchase history. The system begins by identifying customers through a secure registration and login process. By analyzing their previous purchase history, the system identifies frequently bought items to generate personalized recommendations. These recommendation along with corresponding offers, are presented to the customers through an intuitive user interface. It also integrates with Telegram to send real-time notifications about the user’s shopping cart and total bill. Thus enhancing the shopping experience facilitating easy cart management, ultimately saving users time and effort.