
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 2
April-June 2025
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Ai-Powered Real Estate Registration Syatem with Explainable Ai(XAI) Based Consent Verification
Author(s) | Vigneshwari S K, Aravind N |
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Country | India |
Abstract | Politicsnew Digital solutions are helping the real estate sector become more transparent, reduce costs and earn people’s trust. It describes the building and configuration of an AI-enabled real estate registration system that relies on Explainable Artificial Intelligence (XAI) for verifying consent. Often, property registration processes are slow, can be faulty due to people and are easily exploited by fraud. Our design uses machine learning methods to check, verify and detect fraud in documents and at the same time uses XAI models to interpret and explain the decisions for all stakeholders.A key role of the XAI-based consent verification module is confirming that all involved parties—buyers, sellers and legal authorities—have given informed consent through interpretable AI models. It guarantees that rules are followed, that AI remains transparent and that people trust its judgments.Part of the system architecture is the integration of secure blockchains, plus verification of a person’s identity with facial and biometric data and the use of NLP to study and check legal documents. Trials of the system showed that it performed well, was much faster and made users feel more confident because of how the XAI layer explained what was happening.It plays an important role in developing a safer and more digital method to register real estate properties based on ethical and explainable AI systems. |
Keywords | Artificial Intelligence (AI) ,Explainable Artificial Intelligence (XAI), Real Estate Registration , Consent Verification , Fraud Detection |
Field | Computer Applications |
Published In | Volume 16, Issue 2, April-June 2025 |
Published On | 2025-06-13 |
DOI | https://doi.org/10.71097/IJSAT.v16.i2.6018 |
Short DOI | https://doi.org/g9qqww |
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IJSAT DOI prefix is
10.71097/IJSAT
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