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ZENODO
Report . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
ZENODO
Report . 2025
License: CC BY
Data sources: Datacite
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Utilizing VR/AR for Virtual Property Tours and AI for Market Analysis to Enhance the Buying Experience and Improve Investment Decisions

Authors: Ravichandran, Manikandaraj; K, Hemachandran; K V, Rajesh Kumar;

Utilizing VR/AR for Virtual Property Tours and AI for Market Analysis to Enhance the Buying Experience and Improve Investment Decisions

Abstract

The real estate industry incorporated technological advancements soon after adopting virtual video tours together with customer chatbots for interaction. The necessity for companies to update technology stands clear because their competitive position depends on it when technology dominates regular operations. The development of VR and AR technologies builds an improved link between physical environments and digital platforms to streamline this change. Modern homebuyers want their home experiences to merge effortlessly with each other so they can inspect residences at their convenience. People buying property will experience immersive virtual real estate walkthroughs through VR because the platforms enable them to explore each room space and grasp design layouts including live visual interior modifications. People are turning 'test before purchase' behavior patterns into new ways for real estate acquisitions while this shift transforms ownership deals into adoption processes. Organizations target future clients who want to inspect models online. The advancement of VR technology enables tailored interactive engagements for potential buyers when they look at building models after making this possible. Technology makes it possible for customers to walkthrough properties virtually while obtaining house previews from their prospective future home through cost-free experiences.

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Keywords

Virtual Property Tours, Artificial Intelligence, Virtual Reality, Property Valuation, Immersive Real Estate, Real Estate, AI Market Analysis, Remote Property Viewing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average