India's largest platform and marketplace for GCCs & AI

Sign in

India's largest platform and marketplace for GCCs & AI

3AI Digital Library

Property Registration in Karnataka to use Blockchain Technology

3AI January 6, 2021

Property registration in Karnataka is all set to become more secure and hassle-free, with the state government developing a system based on blockchain technology for online property documentation.

The new system, developed in collaboration with IIT-Kanpur, promises an immutable electronic storage of property data through blockchain. In other words, data once stored cannot be changed, eliminating risks of impersonation and unauthorised tweaking of records.
According to Additional Chief Secretary (e-governance) Rajeev Chawla, the new system was approved by the revenue department and would be ready for a pilot in four months. “Unless authorised, no official will be able to tamper with the data,” he said.
Each property holder will be given a property card akin to an ATM card, which can be accessed through a PIN.

The property transaction details can be accessed only with the authentication of the user’s digital key or PIN number.
“The content in the blockchain will be locked through this card. The card acts like a locker. Unless the card-based consent is provided, nobody will be able to modify the data,” an expert associated with the project further explained.

From a user’s point of view, this system protects property data besides removing the hassle of storing hard copies of documents. A user will be able to swipe the card at citizen service centres such as Bangalore One and download or print the same.

The new system is expected to strengthen the revenue department’s existing Kaveri portal.

“The identification of a property database in a sub registrar’s office will become easy. Right now, Kaveri depends on human discretion for verification of identity and ownership. A sub-registrar’s office will authenticate all this. The new technology will reduce human discretion as the cards will prove your identity and authentication,” the expert added.

It may be recalled that last year, data pertaining to about 300 properties in the Kaveri portal was allegedly compromised. An internal audit report of the Department of Stamps and Registration suspected that officials with technical expertise had misused the portal.

 

Picture from freepik.com

    3AI Trending Articles

  • Rethinking Reasoning in AI with Multimodal Chain-of-Thought Prompting

    Featured Article by Rahul Pandey, Data Science & Applied AI Practice Leader, C5i Beyond Understanding to Reasoning As AI systems evolve, the true benchmark is no longer their ability to comprehend it, it’s their ability to reason. Today, we stand at the edge of a significant breakthrough: Multimodal Chain-of-Thought Prompting (MCoT), a technique that allows […]

  • What CIOs can learn from the first 30 days of an AI Copilot

    Featured Article Author: Koyelia Ghosh Roy, EXL Copilot is a buzzword now with almost all assistive solutions being tagged with them. However, it is the most in-demand solution in today’s era, helping from simple automation of mundane tasks like O365 CoPilot or very sophisticated, customized solutions for specialized tasks like data analysis using database agents […]

  • Mirae Asset Launches $35 Mn Early Stage Fund For India

    The Mirae Asset Venture Opportunities Fund will have an average ticket size of $2 Mn – $4 Mn The early stage fund will back up the Mirae Asset-Naver Asia Growth Fund, which was launched in 2018 Besides its new early stage fund, Mirae Asset has invested in Ola, Bigbasket, Zomato, Shadowfax and other Indian startups […]

  • Automated Quality Excellence Framework for Data Science Modelling

    Featured Article: Author: Abhishek Sengupta, Walmart Global Tech India Introduction:  A necessary but often tedious task data scientists must perform as part of any project is quality assurance (QA) of their modules so as to prevent any unforeseen incidents during deployment. While Quality Assurance and Excellence is quite prevalent in Data Engineering, QE in Data […]