Securing the Real Estate Journey in India. A Feature Driven Model Against Transactional Real Estate Scams

Securing the Real Estate Journey in India. A Feature Driven Model Against Transactional Real Estate Scams

Karthik

Dept. of Computer Applications

St. Joseph Engineering College

An Automation Institution Vamanjoor, Mangalore, India

Kaushal K Bhandary Dept. of Computer Applications

St. Joseph Engineering College

An Autonomous Institution Vamanjoor, Mangalore, India

Ms. Priyadarshini P Assistant Professor Dept. of Computer Applications

St. Joseph Engineering College

An Autonomous Institution Vamanjoor, Mangalore, India

Mr. Sunith Kumar T Assistant Professor Dept. of Computer Applications

St. Joseph Engineering College

An Autonomous Institution Vamanjoor, Mangalore, India

Charanraj

Dept. of Computer Applications

St. Joseph Engineering College

An Autonomous Institution Vamanjoor, Mangalore, India

Manvith

Dept. of Computer Applications

St. Joseph Engineering College

An Autonomous Institution Vamanjoor, Mangalore, India

Ms. Rakshitha P Assistant Professor Dept. of Computer Applications

St. Joseph Engineering College

An Autonomous Institution Vamanjoor, Mangalore, India

Mr. Murari B K Assistant Professor Dept. of Computer Applications

St. Joseph Engineering College

An Autonomous Institution Vamanjoor, Mangalore, India

Abstract – Being one of the largest contributors to the Indian economy, the real estate sector is marred by incessant fraud in the form of broker impersonation, fake listings, and secretive negotiations, which cost huge amounts of money and dented consumer confidence. The size of the problem was illustrated in 2022 when Delhi lost 1,420 crore through construction fraud. Uneven application and lack of adequate fraud prevention in existing property platforms still persist despite the Real Estate (Regulation and Development) Act (RERA) of 2016. To minimize the risk of fraud in real estate transactions, this paper proposes Build-Connect, a technologically innovative platform that integrates end-to-end encrypted communication channels, validated intermediaries (SiteScouts), and AI-powered document authentication. This paper describes how Build-Connect fills important gaps by referencing a thorough analysis of money laundering studies, fraud statistics, comparative legal frameworks, and real estate rules. These technologies can help make real estate transactions more transparent and trustworthy. By supporting existing regulations and making it harder for illegal activities like money laundering to go unnoticed, they build confidence among buyers and investors in the sector..

Index Terms: Real Estate, Fraud Prevention, RERA, Technology, India, Build-Connect, Money Laundering

1. INTRODUCTION

   The Indian real estate sector plays a major role in the countrys economy, contributing around 7% to the national GDP, with

   expectations to rise to 13% by 2025. It also provides jobs to over 70 million people, making it one of the largest employment generators. Despite its importance, the sector continues to struggle with deep-rooted fraud that shakes buyer confidence and results in heavy financial losses. For instance, builder fraud in Delhi alone led to losses of 1,420 crore in 2022 almost three times more than the 477 crore reported in 2021.

   Scams in the industry are disturbingly common. These include fake property listings, imposters posing as brokers, deceptive site visits, and payment frauds such as the infamous 4,000 crore Rangmahal CGHS scam. Such frauds often take advantage of weak oversight and a lack of transparency.

   To address these issues, the Real Estate (Regulation and Development) Act, or RERA, was introduced in 2016. It mandates that all projects be registered, requires that 70% of funds be placed in escrow accounts, and provides mechanisms for quicker dispute resolution. While the law is a step in the right direction, its impact has been limited due to inconsistent enforcement. Only about 30% of states are fully implementing RERA orders, and delays in project delivery persist. In Thane, for example, even after RERA came into effect, 1 in 5 homebuyers still reported delays. This uneven application of the law continues to leave many buyers exposed to risk. Existing property platforms, such as magicbricks and nobroker,

   primarily serve as listing services and lack robust buyer-side fraud protection, such as secure payment systems or comprehensive verification of listings. This research proposes build-connect, a novel platform designed to deter fraud through verified intermediaries (sitescouts), secure communication, and ai-driven validation of listings against RERA databases. By synthesizing insights from real estate regulations, fraud statistics, a comparative legal analysis of india and the uk, and money laundering studies, this paper highlights how build- connect complements RERA and addresses operational vulnerabilities in the Indian real estate market. The remainder of this paper is structured as follows: section ii reviews the existing literature on real estate fraud and regulatory frameworks; section iii details the problem statement and specific fraud types; section iv presents the proposed solution, build-connect; section v describes the methodology; section vi discusses the system design; section vii presents the results and discussion; and section viii concludes the paper.

2. LITERATURE REVIEW

   Real estate fraud remains a persistent and damaging issue in India, affecting countless homebuyers and investors. Various scams are prevalent, including:

   Fake Listings: Fraudulent properties are listed with misleading details and unauthorized images, often copied from legitimate sources to lure buyers [1].

   Broker Impersonation: Unverified individuals frequently pose as legitimate brokers or property owners, exploiting the lack of regulation in informal brokerage practices [2].

   Advance Payment Scams and Assured Returns: Buyers are misled into making payments on the promise of high returns (e.g., 12%18%) or guaranteed possession, often with post- dated cheques that later bounce. This vulnerability was clearly seen in the Ansal API case in Lucknow, where several FIRs were filed concerning undelivered housing projects valued at

   1.72 crore [7].

   The situation is even more alarming when looking at large-scale fraud. In Delhi alone, real estate scams in 2022 led to losses amounting to 171 crore, highlighting how widespread and deeply rooted these fraudulent practices have become [2].

   These examples show that, despite increased awareness among buyers, many still fall victim to real estate scams largely due to weak regulatory enforcement and the absence of reliable, verified intermediaries.

   Impact of RERA

   The Real Estate (Regulation and Development) Act, 2016 (RERA), was introduced as a transformative step toward instilling greater transparency, accountability, and efficiency within the Indian real estate sector. Under this legislation, developers are required to register their projects, maintain financial discipline by depositing 70% of project funds into escrow accounts, and resolve disputes within a defined

   timeframe [3]. These measures were intended to protect homebuyers and restore trust in the market.

   However, the real-world outcomes of RERAs implementation have been mixed. A survey conducted in Thane highlighted that while nearly 70% of participants noticed improved transparency in property transactions, about 20% still encountered project delays and regulatory lapses [4]. The effectiveness of RERA also varies significantly across sttes. Some have adopted its provisions rigorously, while others lag due to administrative inefficiencies and bureaucratic inertia [10].

   This inconsistency reveals a clear disconnect between policy intent and practical enforcement. It points to the need for not only stronger enforcement mechanisms but also the integration of technology-based solutions to support consistent and uniform application of RERAs framework across the country.

   Money Laundering in the Real Estate Sector

   Real estate continues to be one of the most exploited avenues for laundering black money in India. Common practices include underreporting sale prices, using unaccounted cash payments, and channeling funds through shell companies. These tactics enable illicit wealth to be quietly absorbed into the formal financial system [6].

   A global perspective further underscores the issue research by Agarwal and Agarwal found that the real estate sector is responsible for nearly 20% of all money laundering activities worldwide, highlighting its systemic vulnerability [6].

   Although the Prevention of Money Laundering Act (PMLA) provides a legislative framework to address such crimes, enforcement is often lacking in consistency and scope. Experts suggest that tightening Know Your Customer (KYC) norms, conducting independent audits, and empowering specialized financial intelligence units could significantly strengthen the fight against money laundering in the sector [6].

   Shortcomings in Digital Real Estate Platforms

   Digital real estate platforms like MagicBricks and NoBroker have undoubtedly expanded access to property listings and made it easier for users to navigate the market. However, their effectiveness in preventing fraud remains limited [1].

   A significant shortcoming lies in their reliance on superficial measures such as "verified badges" to reassure users. These badges often lack thorough verification processes, creating a false sense of security and leaving room for deceptive listings and scams. However, these validations often lack physical inspection or identity authentication, enabling fake listings to persist [7]. Furthermore, communication is frequently redirected off-platform (e.g., to WhatsApp), reducing transparency and limiting the platform's ability to monitor or act on suspicious behavior [11].

   Another notable issue is the lack of escrow-based payment systems. Without such safeguards, buyers often send money directly to sellers, increasing their exposure to fraud [11].

3. PROBLEM STATEMENT

   The Indian real estate sector faces significant challenges due to fraudulent practices that exploit gaps in transparency and verification. Common fraud types include fake listings, broker impersonation, variable cost of contractors for projects, misleading site visits, payment scams, and assured returns fraud, resulting in substantial financial losses and legal implications. For instance, Delhi reported 1,420 crore lost to builder fraud in 2022, and over 80 fraud cases were registered in 2024. The Ansal API scam in Lucknow, involving 10 FIRs for undelivered properties worth 1.72 crore, exemplifies the severity of these issues.

   Despite regulatory efforts like RERA, which mandates project registrations and dispute resolution, uneven enforcement and persistent delays, 20% of Thane homebuyers reported delays that limit its effectiveness. Current property platforms, such as MagicBricks and NoBroker, lack robust fraud prevention mechanisms, leaving buyers vulnerable to scams. This necessitates a technology-driven solution that integrates verified intermediaries known as site scouts, secure

   Fraud Type	Build-Connect Feature
   Fake Listings	AI document validation, SiteScout verification
   Broker Impersonation	Mandatory KYC, admin oversight
   Non-Transparent Negotiations	In-app communication
   Misleading Site Visits	Geotagged SiteScout reports
   Payment Scams	Escrow-like payment system
   Assured Returns Fraud	Transparent transaction tracking

METHODOLOGY

communication without revealing direct contact through phone or email, and AI-based validation of properties, contractors and site scouts to enhance transparency and protect consumers.

1. PROPOSED SOLUTION: BUILD-CONNECT

   1. Build-Connect is a technology-driven platform connecting buyers, sellers, SiteScouts (verified brokers), contractors, and admins to facilitate secure land transactions and construction services. Its key features include

      • User Role Management: Supports Admin, User, SiteScout, and Contractor roles with specific permissions.

      • Land Verification: AI-based document validation followed by SiteScout physical verification.

      • Secure Communication: In-app encrypted chat and call features.

      • Payment System: Escrow-like mechanism to secure transactions.

      • Location-Based Assignment: Assigns SiteScouts based on proximity.

      • Contractor Management: Verified contractors with user ratings.

        Ticket System: For issue resolution by admins.

   2. Addressing Fraud and Money Laundering

   Build-Connects features target common fraud types, as shown in Table I. Its KYC procedures, transaction logging, and transparency measures also deter money laundering by reducing anonymity and enabling traceability.

   TABLE I

   Mapping Fraud Types to Build-Connect Features

   The Build-Connect framework was developed through a 20- day structured approach that combined academic research, platform analysis, and iterative system engineering. The methodology adopted a problem-solving mindset while adhering to real-world legal and technical constraints in the Indian real estate sector.

   TABLE II

   Methodology

   1. Literature Exploration

      The process began with an in-depth review of existing literature concerning real estate fraud, with a strong focus on Indian regulatory frameworks such as RERA and PMLA. Research papers, case studies, and government documents were analyzed to understand common loopholes and fraud patterns. International practices were also considered to bring in perspectives on tech-enabled property verification and legal traceability.

   2. Gap Identification through Platform Study

      To understand real-world shortcomings, popular property

      platforms such as MagicBricks and NoBroker were closely examined. This wasnt just a surface-level analysis; the team scrutinized how listings were created, how verifications were handled (if at all), and whether any protective mechanisms were in place for users. It became evident that while these platforms offered convenience, they lacked critical safeguards particularly in verifying documents, enforcing traceable communication, and ensuring payment security.

   3. System Planning and Architectural Design

      Following the platform study, the system architecture for Build-Connect was laid out using UML tools. The diagrams created context flow, use case, sequence, and activity diagrams helped map out the envisioned user experience and technical workflow. The architecture was designed around microservices to allow independent scaling of core functionalities.

      Several key modules were developed during this phase

      1. User and Role Management: The authentication layer was built using OAuth 2.0, with JWT tokens for session handling. MongoDB was chosen for its document-based flexibility, and password hashing was implemented using bcrypt. Roles were defined to conrol permissions admins, sellers, buyers, SiteScouts, and contractors each have unique access levels. Two-factor authentication, using SMS or email, was added later to further secure logins.

      2. Land Verification System: A critical feature involved uploading property documents to Cloudinary. An AI model, trained on over 10,000 legal documents, performed OCR and NLP analysis to detect tampering or formatting inconsistencies. The AI wasnt left unchecked; whenever irregularities appeared, SiteScouts were automatically notified for manual inspection. Their findings, including photos and videos with geotags, were stored in MongoDB, ensuring auditability.

      3. Communication Module: Instead of relying on third- party chat APIs, a dedicated chat service was built in Go, using Kafka Message queue for high-speed, structured messaging. Redis was used to monitor real-time user presence, while Cassandra managed the message history to ensure persistence and fault tolerance.

      4. Load Distribution and Routing: NGINX was configured as a reverse proxy to route requests and WebSocket connections. It also managed load balancing for chat- service instances and checked the health of backend services before directing traffic.

      5. Secure Payment Infrastructure: The payment flow integrated Razorpay to facilitate transactions. However, instead of direct transfers, the system used an escrow approach: payments were held until both buyer and seller confirmed the deal. Smart contract-inspired logic helped automate release conditions, reducing dependency on human intermediaries.

      6. Geo-Based Assignment of Verifiers: The platform leveraged Google Maps API and the Haversine formula to assign SiteScouts to properties based on proximity. This reduced both the turnaround time for verifications and associated travel costs. Each assignment was logged

         for transparency.

      7. Contractor Onboarding and Ratings: Contractors submitted KYC documents, which were verified by admins via third-party APIs. Once approved, they could be rated by users, creating a transparent feedback loop that prioritized service quality.

      8. Issue Reporting and Resolution: A Node.js-based ticketing system allows users to raise platform or transaction-related issues. Tickets were sorted by priority and assigned to admins for resolution, ensuring accountability.

      9. System-Wide Coordination: Kafka was used as the messaging backbone for cross-service communication. Events such as new listings, verification completions, or payment approvals were broadcast through specific Kafka topics, allowing relevant services to act independently but in coordination.

   4. Prototype Development

      A minimal viable product (MVP) was built incorporating core modules such as authentication, AI-based document validation, and escrow-enabled payment. The development process involved continuous feedback from test users and iterative refinement.

   5. Legal and Technical Validation

   Ensured compliance with RERA and PMLA, tested AI models for document validation accuracy, and verified legal admissibility of digital logs.

2. RESULTS AND DISCUSSION

   1. Potential Impact

      The real estate sector has long struggled with slow processes, lack of transparency, and the risk of fraud. However, the use of technology, particularly AI for document checks, on-site inspections, and secure in-app communication offers a new way forward thats both practical and effective.

      When property documents are reviewed using AI, it helps flag potential issues early and gives an initial sense of how reliable the information is. This makes the process not only quicker but also more dependable. Adding a physical verification step, where an independent agent confirms the details on-site, adds a much-needed layer of real-world assurance. It helps ensure that whats shown online actually matches the reality on the ground.

      Communication through a secure platform also makes a big difference. Instead of depending on calls or messages outside the system where records can be lost or manipulated, buyers and sellers can talk, negotiate, and stay updated all in one place. It builds accountability and removes the uncertainty that often surrounds land deals.

      Another game-changing feature is the use of an escrow system. By holding funds safely until everything is verified, it protects both parties. Buyers dont have to worry about being scammed, and sellers are assured theyll get paid once things are in order. This adds fairness and structure to a process that has often been unpredictable and risky.

      In simple terms, combining these tools leads to a faster, safer, and more trustworthy way to buy and sell land. It helps people avoid the usual pitfalls, reduces dependency on middlemen, and creates a system where everyone involved knows theyre protected. Over time, this approach could rebuild trust in the property market and set a new standard for how real estate transactions should work.

   2. Challenges and Limitations

      • User Adoption: Convincing users to switch from established platforms requires incentives and awareness campaigns.

      • SiteScout Integrity: Rigorous vetting and continuous monitoring are needed to prevent internal fraud.

      • Scalability: Adapting to Indias 28 states with varying regulations requires localized strategies.

      • Technological Infrastructure: Rural areas with limited internet connectivity may face usability issues.

3. FUTURE WORK

   Pilot projects in cities like Bangalore and Pune could validate Build-Connects effectiveness, measuring fraud reduction and user satisfaction. Integration with DILRMP for real-time land record access could enhance verification. Partnerships with real estate associations and regulatory bodies could facilitate adoption and compliance. Exploring blockchain for title registration and expanding AI capabilities for fraud detection are also promising avenues.

4. CONCLUSION

Build-Connect offers a robust solution to mitigate fraud in Indian land transactions by integrating AI, verified intermediaries, and secure systems. Complementing RERA, it addresses gaps in current platforms and deters money laundering, fostering trust. Future pilots and integrations will determine its scalability and impact, potentially transforming the Indian real estate sector.

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2. Builder and Land Fraud in Delhi (2022), Times of India, 2022.

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