Virtual Reality Mall integrated with Machine Learning

Prof. Sanath JayawardenaDepartment of Computer Systems Engineering, Sri Lanka Institute of Information Technology(SLIIT), Malabe, Sri LankaRangi LiyanageDepartment of Computer Systems Engineering, Sri Lanka Institute of Information Technology(SLIIT), Malabe, Sri LankaW.M.H.S. AbeysekaraDepartment of Computer Systems Engineering, Sri Lanka Institute of Information Technology(SLIIT), Malabe, Sri LankaR.A.N.T. RanasingheDepartment of Computer Systems Engineering, Sri Lanka Institute of Information Technology(SLIIT), Malabe, Sri LankaV.S.S. PereraDepartment of Computer Systems Engineering, Sri Lanka Institute of Information Technology(SLIIT), Malabe, Sri LankaM.W.W.R.P.M.C.M. BandaraDepartment of Computer Systems Engineering, Sri Lanka Institute of Information Technology(SLIIT), Malabe, Sri Lanka

Vol 7 No 11 (2023): Volume 7, Issue 11, November 2023 | Pages: 275-281

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 10-11-2023

doi Logo doi.org/10.47001/IRJIET/2023.711038

Abstract

This research paper presents a comprehensive approach to developing a Virtual Mall using Virtual Reality (VR) technology. The goal is to create an immersive shopping experience allowing customers to explore, select products, manage carts, make secure payments, and track orders. The research focuses on smooth navigation, hand gesture and voice recognition effectiveness, and enhance personalized shopping experiences by providing insights to improve user experience and better inventory management.

Keywords

image processing, gesture recognition, machine learning, Virtual reality, voice


Citation of this Article

Prof. Sanath Jayawardena, Rangi Liyanage, W.M.H.S. Abeysekara, R.A.N.T. Ranasinghe, V.S.S. Perera, M.W.W.R.P.M.C.M. Bandara, “Virtual Reality Mall integrated with Machine Learning” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 11, pp 275-281, November 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.711038

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