Design Implementation Smart Mart AI-Powered is a B.Tech project topic for Information Technology. It gives students a clear starting point for research, implementation planning, and documentation.
Design Implementation Smart Mart AI-Powered Project Details
| Abstract |
The contemporary digital commerce landscape necessitates advanced online retail solutions capable of addressing the evolving demands of both consumers and businesses. Traditional e-commerce platforms frequently exhibit limitations, such as the absence of integrated artificial intelligence assistance, restricted payment gateway options, and insufficient administrative dashboards, which can impede the competitive positioning of small and medium-sized enterprises. This research details the architectural design and practical implementation of SmartMart, a comprehensive full-stack enterprise-grade e-commerce web application. The system is engineered to deliver a secure, scalable, and feature-rich online shopping environment for diverse user roles, including customers, administrators, and delivery personnel. Leveraging a robust technology stack comprising Angular 10 for the frontend, Spring Boot
3 with Java 17 for the backend, and PostgreSQL for data persistence, SmartMart integrates an AI-powered product recommendation chatbot utilizing Google Generative AI. Furthermore, it incorporates multi-gateway payment processing through PayPal and Razorpay, implements JWT-based authentication via Spring Security, provides real-time order tracking capabilities, facilitates PDF invoice generation, and offers centralized administrative analytics. The developed system demonstrates substantial enhancements in customer engagement, operational efficiency, and overall security when compared to conventional e-commerce frameworks.
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| Reference Paper |
Design and Implementation of Smart Mart: An AI-Powered E-Commerce Web Application |
| Domain |
Information Technology |
| Sub-Domain |
E-Commerce Systems |
| PDF Download |
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