A Gamified Civic Engagement Platform for Urban Complaint Management, Community Mobilization and AI-Powered Civic Intelligence

Abstract

Urban municipalities in India face persistent challenges in managing citizen complaints transparently, verifying community participation, and making government welfare information accessible. This paper presents a unified MERN stack web platform addressing these gaps through three integrated modules: a nine-step complaint lifecycle with WhatsApp-based field worker coordination and Haversine-formula duplicate detection within a 50-metre geospatial radius; a three-layer community mission attendance system combining cryptographic QR tokens, GPS validation, and pre-registration checks to eliminate proxy attendance; and a Google Gemini-powered civic assistant with domain-restricted prompting for natural language access to government scheme information. A cross-role gamification engine awards experience points for complaints, mission participation, and resolution ratings, with daily limits and cooldown controls preventing misuse. Role-based access control governs five user tiers citizen, NGO administrator, local authority, field worker, and super administrator across a three-tier architecture. Functional validation confirmed reliable performance across all modules, and security testing verified resilience against common web vulnerabilities, demonstrating that accountable complaint management, verifiable civic engagement, and conversational AI assistance can be feasibly unified into a single deployable urban governance platform.

Introduction

1. NITI Aayog, "Government Scheme Awareness and Uptake in Tier-2 Cities," Government of India, New Delhi, 2021.
2. N. Shinghal, "WhatsApp as a Channel for Government Service Delivery," Indian Journal of Public Administration, vol. 66, no. 1, pp. 45–62, 2020.
3. A. Kumar and R. Singh, "Effectiveness of e-Governance Complaint Portals in Indian Municipalities," Journal of Urban Governance and Technology, vol. 5, no. 2, pp. 88–104, 2022.
4. L. Zhao, Y. Wang, and H. Chen, "Gamification in Smart City Public Participation Platforms: A Behavioral Study," Smart Cities and Society Journal, vol. 9, no. 1, pp. 211–228, 2023.
5. P. Gupta, S. Mishra, and A. Tiwari, "QR Code Based Volunteer Attendance Verification for NGO Events," International Journal of Engineering and Applied Sciences, vol. 10, no. 3, pp. 145–159, 2022.
6. S. Rao and D. Mehta, "WhatsApp as a Municipal Field Operations Channel: Accountability and Limitations," Indian Journal of Public Administration, vol. 69, no. 2, pp. 310–325, 2023.
7. R. Verma, K. Pandey, and M. Jain, "Bridging the Government Scheme Awareness Gap Through Conversational Interfaces," Journal of e-Governance, vol. 47, no. 1, pp. 55–72, 2024.
8. R. Patel and S. Joshi, "Domain-Scoped Large Language Models for Citizen-Facing Government Services," International Journal of AI and Public Policy, vol. 3, no. 2, pp. 78–95, 2024.
9. A. Sharma, V. Kulkarni, and N. Desai, "Role-Based Access Control in Multi-Stakeholder Civic Technology Platforms," Journal of Information Security and Applications, vol. 82, pp. 103–118, 2025.

Conclusion

This paper has presented a gamified civic engagement platform that addresses six critical failures in urban civic systems: complaint opacity, field worker accountability gaps, duplicate complaint proliferation, unverified community mission participation, absence of civic participation incentives, and government scheme inaccessibility. Through a structured nine-step complaint pipeline, a three-layer QR-GPS-registration attendance gate, a configurable database-driven XP engine, and an AI-powered civic assistant, the platform demonstrates that thoughtful application of automation, gamification, multi-channel communication, and large language models can meaningfully improve civic process quality and citizen engagement in resource-constrained urban environments. The platform\'s role-aware architecture spanning five actor types with dedicated workflows models the real organizational complexity of municipal service delivery. The XpLedger\'s dual function as citizen reward history and administrative audit trail reflects the platform\'s commitment to transparency. The civic assistant\'s domain-scoped LLM integration demonstrates that AI capabilities can be practically applied to civic information delivery using commercially available foundation models with appropriate behavioural constraints, without requiring custom model training.

References

[1] NITI Aayog, \"Government Scheme Awareness and Uptake in Tier-2 Cities,\" Government of India, New Delhi, 2021. [2] N. Shinghal, \"WhatsApp as a Channel for Government Service Delivery,\" Indian Journal of Public Administration, vol. 66, no. 1, pp. 45–62, 2020. [3] A. Kumar and R. Singh, \"Effectiveness of e-Governance Complaint Portals in Indian Municipalities,\" Journal of Urban Governance and Technology, vol. 5, no. 2, pp. 88–104, 2022. [4] L. Zhao, Y. Wang, and H. Chen, \"Gamification in Smart City Public Participation Platforms: A Behavioral Study,\" Smart Cities and Society Journal, vol. 9, no. 1, pp. 211–228, 2023. [5] P. Gupta, S. Mishra, and A. Tiwari, \"QR Code Based Volunteer Attendance Verification for NGO Events,\" International Journal of Engineering and Applied Sciences, vol. 10, no. 3, pp. 145–159, 2022. [6] S. Rao and D. Mehta, \"WhatsApp as a Municipal Field Operations Channel: Accountability and Limitations,\" Indian Journal of Public Administration, vol. 69, no. 2, pp. 310–325, 2023. [7] R. Verma, K. Pandey, and M. Jain, \"Bridging the Government Scheme Awareness Gap Through Conversational Interfaces,\" Journal of e-Governance, vol. 47, no. 1, pp. 55–72, 2024. [8] R. Patel and S. Joshi, \"Domain-Scoped Large Language Models for Citizen-Facing Government Services,\" International Journal of AI and Public Policy, vol. 3, no. 2, pp. 78–95, 2024. [9] A. Sharma, V. Kulkarni, and N. Desai, \"Role-Based Access Control in Multi-Stakeholder Civic Technology Platforms,\" Journal of Information Security and Applications, vol. 82, pp. 103–118, 2025.

Copyright

Copyright © 2026 Dr. Sonia Bajaj, Mr. Ashish Wankhade, Mr. Sanket Dandekar, Mr. Aryan Khandagale, Ms. Aastha Khangar, Ms. Anamika Tirpude, Ms. Monali Atone. 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.