Published on: April 2026
AUTOMATED MUNICIPAL COMPLAINT ANALYSIS AND MONITORING SYSTEM
Mohammed Ahmed Ali U. Siva Krishna S. P. Bala Krishna P. Adithya
Kalvacherla Kiran
Article Status
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Abstract
This paper presents an Automated Municipal Complaint Analysis and Monitoring System that integrates web-based complaint management with artificial intelligence techniques. The system utilizes Natural Language Processing (NLP) to automatically classify complaint descriptions into relevant categories and applies clustering techniques to identify recurring issues. Additionally, a monitoring mechanism tracks complaint resolution time based on predefined Service Level Agreements (SLA) and flags delayed complaints for administrative attention.
How to Cite this Paper
Ali, M. A., Krishna, U. S., Krishna, S. P. B. & Adithya, P. (2026). Automated Municipal Complaint Analysis and Monitoring System. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.170
Ali, Mohammed, et al.. "Automated Municipal Complaint Analysis and Monitoring System." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.170.
Ali, Mohammed,U. Krishna,S. Krishna, and P. Adithya. "Automated Municipal Complaint Analysis and Monitoring System." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.170.
References
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[2] Manu, S., & Ajith, K., “Smart Complaint Management System for Smart Cities,” International Journal of Smart City Applications, 2025.
[3] Kim, B., & Lee, J., “Big Data Analysis of Civic Complaints for Smart City Governance,” Sustainable Cities and Society, 2021.
[4] Jurafsky, D., & Martin, J., “Speech and Language Processing,” Pearson Education, 2020.
[5] Devlin, J., Chang, M. W., Lee, K., & Toutanova, K., “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,” Proceedings of NAACL-HLT, 2019.
[6] Government of India, “Centralized Public Grievance Redress and Monitoring System (CPGRAMS),” 2019.
[7] World Bank, “Improving Public Sector Performance Through Citizen Feedback,” 2018.
[8] Ruder, S., “An Overview of Multi-Task Learning in Deep Neural Networks,” arXiv preprint arXiv:1706.05098, 2017.
[9] Hashem, I. A. T., et al., “The Role of Big Data in Smart City,” International Journal of Information Management, 2016.
[10] Government of India, “Digital India Programme: Transforming Governance through Technology,” 2015.
Ethical Compliance & Review Process
- •All submissions are screened under plagiarism detection.
- •Review follows editorial policy.
- •Authors retain copyright.
- •Peer Review Type: Double-Blind Peer Review
- •Published on: Apr 10 2026
This article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. You are free to share and adapt this work for non-commercial purposes with proper attribution.
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