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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

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

Department of CSE (Data Science) ACE Engineering College Hyderabad Telangana India

Article Status

Plagiarism Passed Peer Reviewed Open Access

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Abstract

Municipal complaint systems play a crucial role in enabling citizens to report civic issues such as road damage, water supply interruptions, waste management problems, and streetlight failures. However, existing systems primarily focus on complaint registration and lack intelligent mechanisms for analysis, monitoring, and decision-making. This often leads to delays in resolution, poor transparency, and inefficient resource allocation.

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.

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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.

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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 10 2026
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