International Journal of Computer Techniques Volume 12 Issue 3 | VINTARA: AI – ENHANCED SHOPPING
VINTARA: AI-Enhanced Shopping
International Journal of Computer Techniques – Volume 12 Issue 3, May – June 2025
Abstract
Vintara is an **AI-enhanced full-stack shopping platform** designed to offer a **seamless, intelligent online shopping experience**. The system integrates **React.js for the frontend, Node.js & Express for the backend, and MongoDB for data management**, enabling **smooth eCommerce functionality and AI-powered chatbot support** to improve customer engagement.
Keywords
eCommerce, AI Chatbot, Full Stack Development, MERN Stack, Online Shopping, Web Application, Conversational AI, React.js, Node.js, MongoDB.
Conclusion
The **Vintara platform** successfully integrates **modern web technologies with AI-driven user support** to enhance **online shopping engagement and efficiency**. Future improvements will focus on **AI enhancements, payment integration, and an admin dashboard**, ensuring **a scalable and intelligent eCommerce system**.
References
- R. Sharma & K. Gupta (2022). “AI Chatbots in Online Retail: Enhancing User Experience.” IEEE Access.
- A. Verma & M. Singh (2021). “MERN Stack-Based Web Development for Scalable Applications.” Int. Journal of Web and Semantic Technology.
- A. Joshi (2023). “Conversational Interfaces and Their Role in eCommerce Platforms.” ACM Computing Surveys.
Post Comment