Decentralized AI-Powered Apartment Governance System Using Blockchain

Abstract

This project presents a decentralized apartment maintenance governance platform powered by artificial intelligence. The system examines resident complaints through multimodal AI and Large Language Models to understand reported issues. Blockchain-based hashing securely records every complaint and related action to maintain transparency. An intelligent prioritization mechanism classifies issues based on urgency, helping management respond faster, improve coordination, and enhance the overall efficiency of maintenance operations within residential communities.

Introduction

Apartment maintenance systems often rely on manual or basic digital methods, leading to delays, lack of transparency, and poor coordination. To address these issues, the study proposes a Decentralized AI-Powered Apartment Maintenance Governance System that combines artificial intelligence and blockchain technology to improve complaint management.

The system uses multimodal AI (text and image analysis) to automatically understand and prioritize maintenance complaints based on severity. It applies natural language processing and image recognition to categorize issues (e.g., plumbing, electrical) and assign urgency levels (critical, major, minor). A transformer-based AI model further enhances accuracy by combining textual and visual data for better interpretation.

To ensure transparency and security, the system integrates blockchain technology, creating immutable records of complaints and actions. Smart contracts can automate processes like complaint assignment and verification, improving accountability and trust.

The architecture includes a user-friendly interface, backend processing system, AI module, blockchain layer, and database, all designed for scalability, efficiency, and secure data handling. The platform supports real-time complaint tracking and decision-making.

Evaluation results from simulated testing show high system performance, including fast response times, reliable processing, and 99.9% accuracy in financial and operational tasks. User experience was also positive, with easy interaction and improved efficiency.

Overall, the system provides a smart, secure, and transparent solution for apartment maintenance management, enhancing governance, reducing delays, and improving coordination between residents and administrators.

Conclusion

The TrustTower platform demonstrates how modern web technologies and secure data handling techniques can be effectively integrated to create a smart and efficient estate management system. By combining React.js for the frontend, Flask for backend processing, SQLite for database management, and Tailwind CSS for responsive user interface design, the system provides a structured and user-friendly environment for managing residential operations. The platform enables administrators, residents, and staff members to interact through role-based dashboards, ensuring proper access control and smooth communication between all stakeholders. In addition, the implementation of SHA-based blockchain hashing improves data integrity by protecting financial records and transactions from tampering. The system automates several important tasks such as complaint management, financial tracking, staff assignment, and operational monitoring, which significantly reduces manual effort and improves administrative efficiency. The system includes features such as AI-based complaint analysis, automated financial calculations, and real-time task tracking, which help create a transparent and well-organized digital environment for apartment management. Overall, the project achieves its goal of providing a reliable and scalable platform for managing residential communities using modern web technologies and secure data handling. In the future, the platform can be improved by adding a mobile application for easier access and notifications, integrating advanced AI models for better complaint classification, and using blockchain for secure data storage. Further enhancements such as IoT-based maintenance alerts and cloud deployment can help the system support larger residential communities and smart building environments.

References

[1] R. Lidiawaty, E. Suryani, and R. A. Vinarti, “Traffic urgency model: A novel approach to prioritize complaint texts using enhanced named entity recognition for Bahasa Indonesia cases,” IEEE Access, vol. 13, pp. 57720–57730, 2025. [2] A. Rahman, P. Gupta, and K. Sharma,a detailed overview of blockchain security concerns, including potential attacks on smart contracts and cross-chain bridges, along with strategies for detecting such weaknesses., pp. 1–10, 2025. [3] S. Patil, R. Deshmukh, and P. Kulkarni, “Smart village panchayat: An e-governance system for transparent complaint management,” in Proceedings of the IEEE International Conference on Smart Computing and Communication, 2025, pp. 1–8. [4] R. Kumar, A. Singh, and V. Patel, “Blockchain-innovative police complaint management system using machine learning techniques,” in Proceedings of the IEEE International Conference on Advanced Computing and Communication Systems, 2024, pp. 1–7. [5] S. Ahmed, M. Khan, and T. Hussain, “NLP based model for classification of complaints: Autonomous and intelligent system,” in Proceedings of the IEEE International Conference on Artificial Intelligence and Smart Systems, 2022, pp. 1–6. [6] P. Sharma, R. Verma, and D. Singh, “Streamlining hostel administration using priority-based complaint sorting algorithm,” in Proceedings of the IEEE International Conference on Information Technology and Systems, 2025, [7] pp. 1–8. [8] S. Nakamoto, “Bitcoin: A peer-to-peer electronic cash system,” Cryptography Research Report, pp. 1–9, 2008. [9] M. Crosby, P. Pattanayak, S. Verma, and V. Kalyanaraman, “Blockchain technology: Beyond Bitcoin,” Applied Innovation Review, vol. 2, pp. 6–19, 2016. [10] K. Christidis and M. Devetsikiotis, “Blockchains and smart contracts for the Internet of Things,” in Proceedings of the IEEE International Conference on Computer Communications Workshops, 2016, pp. 229–234. [11] G. Wood, “Ethereum: A secure decentralised generalised transaction ledger,” Ethereum Project Yellow Paper, pp. 1–32, 2014.

Copyright

Copyright © 2026 Ms. A. Lalitha, Janani R, Jayapriya B, Jayashrudhi S D. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.