Bee Berry Honey Shop: An Intelligent Full-Stack E-Commerce Platform Integrating AI-Based Recommendations, Blockchain Verification, and Real-Time Delivery Tracking

The rapid growth of e-commerce technologies and increasing demand for transparency in food products have created a need for intelligent, secure, and user-centric platforms. This paper presents the design and development of Bee Berry Honey Shop, a full-stack e-commerce web application focused on providing a personalized and trustworthy honey purchasing experience. The application is developed using React.js for the frontend, Node.js with Express for the backend, and Firebase Firestore as the database. A Python Flask-based machine learning microservice is integrated to provide intelligent recommendations using Naive Bayes and Logistic Regression models. Additional technologies include Socket.io for real-time communication, Leaflet for delivery tracking, and Cloudinary for media storage. A key feature is the AI-powered recommendation module, which allows users to describe their health needs in natural language. The platform also implements blockchain-based product verification using the Polygon network, ensuring transparency by providing details such as origin, purity, and beekeeper information. The system includes real-time delivery tracking and an automated restock notification feature. The application follows a modular and scalable architecture, ensuring better performance and maintainability.