Smart Contract for Real Estate Using Blockchain

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Vaishnavi Reddy
Komal Pawar
Sagar Dhawale
Renuka Pawar
Prof.Vaibhav Rewaskar

Abstract

The commercial real estate (CRE) industry appears to take pride in keeping several aspects of its operations private, such as comparable lease rental rates, property prices, and valuations, to create a possible competitive advantage. However, secrets are hard to keep and may not even be desired in today’s hyperconnected and digitized world. In response to greater demand for transparency, technology advancements and the disintermediation by startups are gradually making some of this information public. As a result, property-related information is increasingly available in digital and paper form. However, a significant portion of the digitized information is hosted on disparate systems, which results in a lack of transparency and efficiency, and a higher incidence of inaccuracies that creates a greater potential for fraudulence.[1] This paper aims to present the Blockchain and smart contract for a specific domain which is real estate. Currently, the real estate business online is at risk of fraudulence. The main objective of this project is to create a platform to maintain transparency in the real estate world so that no fraudulent activities can happen due to false contracts. Goal is to create tamper proof systems and to remove third party reliability for transactions. Consensus algorithms such as Proof of Work and Proof of Authority can be used to achieve consensus in the network. Blockchain uses Proof of work concept to ensure transaction denial thus helping remove denial of services. Proof of authority on the other hand ensures only authorized smart contracts pass the system. 

Article Details

How to Cite
Reddy, V., Pawar, K., Dhawale, S., Pawar, R., & Rewaskar, P. (2022). Smart Contract for Real Estate Using Blockchain. Multidisciplinary Journal of Research in Engineering and Technology, 9(2), 11–19. Retrieved from https://journals.mriindia.com/index.php/mjret/article/view/1153
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