Blockchain and ML in land registries atransformative alliance

Abstract

This  study  presents  a  novel  method  for  merging  blockchain  security  and machine  learning  (ML)  valuation  to  update  land  register  systems.  The system  offers  a  safe,  open,  and  effective  framework  for  documenting  and managing land ownership, addressing issues with conventional land registry procedures.   Blockchain   technology   creates   a   tamper-proof   record   by cryptographically   combining   transactions   and   time-stamped   entries   to provide  an  immutable  and  decentralized  ledger.  In  addition  to  building  a solid   foundationfor   the   land   registry   system,   this   strengthens   trust. Simultaneously, MLalgorithms  examine  variables  such  as  amenities  and location  to  remove  inflated  pricing,  providing  accurate  assessments  and encouraging openness in the real estate sector. The system has been put into practice   and   verified   in   small-scale   applications.   Its   features   include enhanced  data  security,  expedited  ownership  transfers,  and  accurate  asset appraisals.  Collaboration  between  governments,  regulatory  agencies,  and technology   suppliersis   necessary   for   widespread   deployment.   Land registration   procedures   will   change   as   a   result   of   the   revolutionary partnership  between  blockchain  and MLtechnology,  which  offers  a  more effective,   safe,   and   future-ready   environment.   Accepting   this   ground-breaking  technique  establishes  a  new  benchmark  for  the  updating  of  land ownership  data  and  is  a  major  step  toward  a  more  sophisticated  and dependable method in the industry.