International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025
p-ISSN: 2395-0072
www.irjet.net
AI & Blockchain-based Infrastructure for Secure and Transparent Affordable Housing Management and Distribution Shubham Gupta Noblesoft Solutions, San Antonio, Texas, USA. --------------------------------------------------------------------------***----------------------------------------------------------------------Abstract Challenges in the affordable housing sector include insufficient transparency, inefficient allocation, and susceptibility to fraud. This research presents an enhanced infrastructure framework, AI & Blockchain-based Secure and Transparent Affordable Housing Management and Distribution (AIBAHMAD), that addresses these challenges through the integration of blockchain technology with artificial intelligence. The proposed system will design a secure, traceable system using smart contracts, distributed ledger technology (DLT), artificial intelligence (AI) algorithms, and crypto protocols. An auditable architecture of applications, housing authorities, property owners, and regulatory bodies is performed on an immutable blockchain system that leverages AI-driven decision support. It is embedded with multi-factor verification, privacy-preserving verification methods, and tamper-free record keeping, with AI for predictive analysis, fraud detection, and optimization. These have improved efficiency, security metrics, and user trust over conventional systems. Instead, AIBAHMAD removes intermediaries by automating verification processes and using AI for unadulterated decision-making, resulting in lower administrative costs and increased transparency and fairness in the decision-making process. Results contribute to affordable housing management practice and blockchain-AI integration literature, offering a technically viable solution to longstanding challenges in the sector.
Keywords: Blockchain, Smart Contracts, Artificial Intelligence, Affordable Housing, Transparency, Machine Learning, Distributed Ledger Technology, Multi-factor Authentication
1. Introduction A social infrastructure element of affordable housing should address the most fundamental human needs and social equity [1]. The sector's sustained challenges include opaque allocation processes, inefficient application systems, high levels of fraud vulnerability, and fragmentation across multiple stakeholders. [2] Such issues have proven difficult to overcome using traditional centralized management approaches, resulting in the need for new technological solutions. Blockchain technology has emerged as a promising solution in sectors that require transparency, security, and trust among multiple stakeholders [3]. Blockchain was initially thought through for cryptocurrency applications, but it has evolved to more subdomains in supply chain, governance, and health care [4]. This is because technology can provide tamper-proof records and automate processes through smart contracts. Some recent papers have studied applying blockchain [5], property registration [6], and rental market [7] in real estate. However, no such frameworks for managing affordable housing using artificial intelligence have been proposed. This sector's unique requirements—including income verification, eligibility assessment, fair allocation, and compliance monitoring— necessitate specialized approaches beyond general real estate applications. This research fills this gap by forming the AIBAHMAD infrastructure framework (AI & Blockchain-based Secure and Transparent Affordable Housing Management and Distribution). The infrastructure framework uses blockchain with Artificial Intelligence to make a secure, clear, and efficient system of decent housing with smart contracts, distributed ledger technology, AI algorithms, and cryptographic protocols. The main contributions of note in this research are: 1.
Build a complete blockchain-AI architecture tailored to manage housing on the cheap.
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