Virtual Reality & Artificial Intelligence in Real Estate Business: A Tool for Effective Marketing Campaigns

Upendar Rao Thaduri

doi:10.18034/ajase.v10i1.54

Authors

Upendar Rao Thaduri ACE Developer, iMINDS Technology Systems, Inc., Pittsburgh, PA 15243, USA

Keywords:

3D Visualization

BIM

Rendering

3D Modeling

Artificial Intelligence

Virtual Reality

Abstract

This article aims to discuss an investigation centered on constructing a real estate app based on developing technologies such as Artificial Intelligence and Virtual Reality. Artificial Intelligence and Virtual Reality technology in the real estate industry are investigated in this paper, along with its potential benefits and drawbacks. Both virtual reality (VR) and artificial intelligence (AI) technologies have a lengthy history in the academic world, dating back to the middle of the previous century; however, they have not been developed to the same level due to a lack of vast amounts of data and the computer capacity both technologies demand. Because the proliferation of IT technologies in recent years has helped to remove technical constraints, there has been a sharp rise in interest in virtual reality (VR) and artificial intelligence (AI) technologies in society and among the general public during the past several years. Not only the research and theoretical concepts about the virtual world but also the practicability of businesses operating in a variety of sectors are becoming an increasingly important aspect. When it comes to virtual reality, in particular, pictures that include 360 degrees are where the attention is being directed. The entire setting can be caught in a three-dimensional space using specialized cameras, and the resulting footage can be pieced together so that the spectator will feel as though they are present in the room and can observe what's going on from that vantage point. This paves the way for the presentation of many alternatives. The study's primary focus was the application of artificial intelligence and virtual reality, which is significant to the real estate field. This article explains how artificial intelligence (AI) and virtual reality (VR) technology can benefit the real estate business.

Downloads

Download data is not yet available.

References

Ballamudi, V. K. R. (2016). Utilization of Machine Learning in a Responsible Manner in the Healthcare Sector. Malaysian Journal of Medical and Biological Research, 3(2), 117-122. https://mjmbr.my/index.php/mjmbr/article/view/677

Ballamudi, V. K. R. (2019a). Artificial Intelligence: Implication on Management. Global Disclosure of Economics and Business, 8(2), 105-118. https://doi.org/10.18034/gdeb.v8i2.540

Ballamudi, V. K. R. (2019b). Road Accident Analysis and Prediction using Machine Learning Algorithmic Approaches. Asian Journal of Humanity, Art and Literature, 6(2), 185-192. https://doi.org/10.18034/ajhal.v6i2.529

Ballamudi, V. K. R. (2019c). Hybrid Automata: An Algorithmic Approach Behavioral Hybrid Systems. Asia Pacific Journal of Energy and Environment, 6(2), 83-90. https://doi.org/10.18034/apjee.v6i2.541

Ballamudi, V. K. R. (2020). Militarization of Space. Asian Journal of Applied Science and Engineering, 9(1), 169–178. https://doi.org/10.18034/ajase.v9i1.38

Ballamudi, V. K. R., & Desamsetti, H. (2017). Security and Privacy in Cloud Computing: Challenges and Opportunities. American Journal of Trade and Policy, 4(3), 129–136. https://doi.org/10.18034/ajtp.v4i3.667

Bodepudi, A., Reddy, M., Gutlapalli, S. S., & Mandapuram, M. (2019). Voice Recognition Systems in the Cloud Networks: Has It Reached Its Full Potential?. Asian Journal of Applied Science and Engineering, 8(1), 51–60. https://doi.org/10.18034/ajase.v8i1.12

Chen, S., Thaduri, U. R., & Ballamudi, V. K. R. (2019). Front-End Development in React: An Overview. Engineering International, 7(2), 117–126. https://doi.org/10.18034/ei.v7i2.662

Cui, J., Ju, J. M., Ling, D. M., Yang, N. N. (2014). Application of Three-Dimensional Visualization Technology in Real Estate Management. Applied Mechanics and Materials, 580-583, 2765-2768. https://doi.org/10.4028/www.scientific.net/AMM.580-583.2765

Dekkati, S., & Thaduri, U. R. (2017). Innovative Method for the Prediction of Software Defects Based on Class Imbalance Datasets. Technology & Management Review, 2, 1–5. https://upright.pub/index.php/tmr/article/view/78

Dekkati, S., Lal, K., & Desamsetti, H. (2019). React Native for Android: Cross-Platform Mobile Application Development. Global Disclosure of Economics and Business, 8(2), 153-164. https://doi.org/10.18034/gdeb.v8i2.696

Dekkati, S., Thaduri, U. R., & Lal, K. (2016). Business Value of Digitization: Curse or Blessing?. Global Disclosure of Economics and Business, 5(2), 133-138. https://doi.org/10.18034/gdeb.v5i2.702

Deming, C., Dekkati, S., & Desamsetti, H. (2018). Exploratory Data Analysis and Visualization for Business Analytics. Asian Journal of Applied Science and Engineering, 7(1), 93–100. https://doi.org/10.18034/ajase.v7i1.53

Desamsetti, H. (2016a). A Fused Homomorphic Encryption Technique to Increase Secure Data Storage in Cloud Based Systems. The International Journal of Science & Technoledge, 4(10), 151-155.

Desamsetti, H. (2016b). Issues with the Cloud Computing Technology. International Research Journal of Engineering and Technology (IRJET), 3(5), 321-323.

Desamsetti, H. (2018). Internet of Things (IoT) Technology for Use as Part of the Development of Smart Home Systems. International Journal of Reciprocal Symmetry and Theoretical Physics, 5, 14–21. https://upright.pub/index.php/ijrstp/article/view/89

Desamsetti, H. (2020). Relational Database Management Systems in Business and Organization Strategies. Global Disclosure of Economics and Business, 9(2), 151-162. https://doi.org/10.18034/gdeb.v9i2.700

Desamsetti, H., & Lal, K. (2019). Being a Realistic Master: Creating Props and Environments Design for AAA Games. Asian Journal of Humanity, Art and Literature, 6(2), 193-202. https://doi.org/10.18034/ajhal.v6i2.701

Desamsetti, H., & Mandapuram, M. (2017). A Review of Meta-Model Designed for the Model-Based Testing Technique. Engineering International, 5(2), 107–110. https://doi.org/10.18034/ei.v5i2.661

Gutlapalli, S. S. (2016a). An Examination of Nanotechnology’s Role as an Integral Part of Electronics. ABC Research Alert, 4(3), 21–27. https://doi.org/10.18034/ra.v4i3.651

Gutlapalli, S. S. (2016b). Commercial Applications of Blockchain and Distributed Ledger Technology. Engineering International, 4(2), 89–94. https://doi.org/10.18034/ei.v4i2.653

Gutlapalli, S. S. (2017a). Analysis of Multimodal Data Using Deep Learning and Machine Learning. Asian Journal of Humanity, Art and Literature, 4(2), 171–176. https://doi.org/10.18034/ajhal.v4i2.658

Gutlapalli, S. S. (2017b). The Role of Deep Learning in the Fourth Industrial Revolution: A Digital Transformation Approach. Asian Accounting and Auditing Advancement, 8(1), 52–56. Retrieved from https://4ajournal.com/article/view/77

Gutlapalli, S. S. (2017c). An Early Cautionary Scan of the Security Risks of the Internet of Things. Asian Journal of Applied Science and Engineering, 6, 163–168. Retrieved from https://ajase.net/article/view/14

Gutlapalli, S. S., Mandapuram, M., Reddy, M., & Bodepudi, A. (2019). Evaluation of Hospital Information Systems (HIS) in terms of their Suitability for Tasks. Malaysian Journal of Medical and Biological Research, 6(2), 143–150. https://mjmbr.my/index.php/mjmbr/article/view/661

Jamei, E., Mortimer, M., Seyedmahmoudian, M., Horan, B., Stojcevski, A. (2017). Investigating the Role of Virtual Reality in Planning for Sustainable Smart Cities. Sustainability, 9(11), 2006. https://doi.org/10.3390/su9112006

Jiang, Y., Tang, J. (2012). Application of 3D Stereo Visualization System in Virtual Architectural Design. Applied Mechanics and Materials, 174-177, 1706. https://doi.org/10.4028/www.scientific.net/AMM.174-177.1706

Koehler, S., Desamsetti, H., Ballamudi, V. K. R., & Dekkati, S. (2020). Real World Applications of Cloud Computing: Architecture, Reasons for Using, and Challenges. Asia Pacific Journal of Energy and Environment, 7(2), 93-102. https://doi.org/10.18034/apjee.v7i2.698

Lal, K. (2015). How Does Cloud Infrastructure Work?. Asia Pacific Journal of Energy and Environment, 2(2), 61-64. https://doi.org/10.18034/apjee.v2i2.697

Lal, K. (2016). Impact of Multi-Cloud Infrastructure on Business Organizations to Use Cloud Platforms to Fulfill Their Cloud Needs. American Journal of Trade and Policy, 3(3), 121–126. https://doi.org/10.18034/ajtp.v3i3.663

Lal, K., & Ballamudi, V. K. R. (2017). Unlock Data’s Full Potential with Segment: A Cloud Data Integration Approach. Technology & Management Review, 2(1), 6–12. https://upright.pub/index.php/tmr/article/view/80

Lal, K., Ballamudi, V. K. R., & Thaduri, U. R. (2018). Exploiting the Potential of Artificial Intelligence in Decision Support Systems. ABC Journal of Advanced Research, 7(2), 131-138. https://doi.org/10.18034/abcjar.v7i2.695

Liu, X., Cui, B., Tong, D. W. (2012). Research on Real-Time 3D Visualization of Dam Transport on Network Environment. Applied Mechanics and Materials, 256-259, 2431. https://doi.org/10.4028/www.scientific.net/AMM.256-259.2431

Mandapuram, M. (2016). Applications of Blockchain and Distributed Ledger Technology (DLT) in Commercial Settings. Asian Accounting and Auditing Advancement, 7(1), 50–57. https://4ajournal.com/article/view/76

Mandapuram, M. (2017a). Application of Artificial Intelligence in Contemporary Business: An Analysis for Content Management System Optimization. Asian Business Review, 7(3), 117–122. https://doi.org/10.18034/abr.v7i3.650

Mandapuram, M. (2017b). Security Risk Analysis of the Internet of Things: An Early Cautionary Scan. ABC Research Alert, 5(3), 49–55. https://doi.org/10.18034/ra.v5i3.650

Mandapuram, M., & Hosen, M. F. (2018). The Object-Oriented Database Management System versus the Relational Database Management System: A Comparison. Global Disclosure of Economics and Business, 7(2), 89–96. https://doi.org/10.18034/gdeb.v7i2.657

Mandapuram, M., Gutlapalli, S. S., Bodepudi, A., & Reddy, M. (2018). Investigating the Prospects of Generative Artificial Intelligence. Asian Journal of Humanity, Art and Literature, 5(2), 167–174. https://doi.org/10.18034/ajhal.v5i2.659

Mandapuram, M., Gutlapalli, S. S., Reddy, M., Bodepudi, A. (2020). Application of Artificial Intelligence (AI) Technologies to Accelerate Market Segmentation. Global Disclosure of Economics and Business 9(2), 141–150. https://doi.org/10.18034/gdeb.v9i2.662

Park, W., Kim, B-C., Yu, H-S., Yi, C-K., Lee, S-H. (2010). Architectural Characteristics of the Normal and Deformity Mandible Revealed by Three-Dimensional Functional Unit Analysis. Clinical Oral Investigations, 14(6), 691-8. https://doi.org/10.1007/s00784-009-0349-2

Popovic, D., Govedarica, M., Jovanovic, D., Radulovic, A., Simeunovic, V. (2017). 3D Visualization of Urban Area Using Lidar Technology and CityGML. IOP Conference Series. Earth and Environmental Science, 95(4). https://doi.org/10.1088/1755-1315/95/4/042006

Prandi, F., Soave, M., Devigili, F., Andreolli, M., Amicis, D. R. (2014). Services Oriented Smart City Platform Based on 3d City Model Visualization. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, II(4), 59-64. https://doi.org/10.5194/isprsannals-II-4-59-2014

Reddy, M., Bodepudi, A., Mandapuram, M., & Gutlapalli, S. S. (2020). Face Detection and Recognition Techniques through the Cloud Network: An Exploratory Study. ABC Journal of Advanced Research, 9(2), 103–114. https://doi.org/10.18034/abcjar.v9i2.660

Sharma, S., Pettit, C., Bishop, I., Chan, P., Sheth, F. (2011). An Online Landscape Object Library to Support Interactive Landscape Planning. Future Internet, 3(4), 319-343. https://doi.org/10.3390/fi3040319

Sullivan, E. A. (2017). Seeking a Better View: Using 3D to Investigate Visibility in Historic Landscapes. Journal of Archaeological Method and Theory, 24(4), 1227-1255. https://doi.org/10.1007/s10816-016-9311-1

Thaduri, U. R. (2017). Business Security Threat Overview Using IT and Business Intelligence. Global Disclosure of Economics and Business, 6(2), 123-132. https://doi.org/10.18034/gdeb.v6i2.703

Thaduri, U. R. (2018). Business Insights of Artificial Intelligence and the Future of Humans. American Journal of Trade and Policy, 5(3), 143–150. https://doi.org/10.18034/ajtp.v5i3.669

Thaduri, U. R. (2019). Android & iOS Health Apps for Track Physical Activity and Healthcare. Malaysian Journal of Medical and Biological Research, 6(2), 151-156. https://mjmbr.my/index.php/mjmbr/article/view/678

Thaduri, U. R. (2020). Decision Intelligence in Business: A Tool for Quick and Accurate Marketing Analysis. Asian Business Review, 10(3), 193–200. https://doi.org/10.18034/abr.v10i3.670

Thaduri, U. R., & Lal, K. (2020). Making a Dynamic Website: A Simple JavaScript Guide. Technology & Management Review, 5, 15–27. https://upright.pub/index.php/tmr/article/view/81

Thaduri, U. R., Ballamudi, V. K. R., Dekkati, S., & Mandapuram, M. (2016). Making the Cloud Adoption Decisions: Gaining Advantages from Taking an Integrated Approach. International Journal of Reciprocal Symmetry and Theoretical Physics, 3, 11–16. https://upright.pub/index.php/ijrstp/article/view/77

Thodupunori, S. R., & Gutlapalli, S. S. (2018). Overview of LeOra Software: A Statistical Tool for Decision Makers. Technology & Management Review, 3(1), 7–11.

Xu, Z., Zhang, Y., Xu, X. (2016). 3D Visualization for Building Information Models Based Upon IFC and WebGL Integration. Multimedia Tools and Applications, 75(24), 17421-17441. https://doi.org/10.1007/s11042-016-4104-9