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Community Infrastructure Failure Intelligence Platform

Authors

Mathireddy Tulasi Satya

CSE-Computer Science and Engineering Hyderabad Institute of Technology and Management Hyderabad, Telangana (India)

Oleti Naga Ramya

CSE-Computer Science and Engineering Hyderabad Institute of Technology and Management Hyderabad, Telangana (India)

Vericharla Wincent Paul

CSE-Computer Science and Engineering Hyderabad Institute of Technology and Management Hyderabad, Telangana (India)

Mayabramha Sricharan

CSE-Computer Science and Engineering Hyderabad Institute of Technology and Management Hyderabad, Telangana (India)

Dr. Dharmendra Roy

CSE-Computer Science and Engineering Hyderabad Institute of Technology and Management Hyderabad, Telangana (India)

Article Information

DOI: 10.51583/IJLTEMAS.2026.151000079

Subject Category: Computer Science

Volume/Issue: 15/10 | Page No: 977-1000

Publication Timeline

Submitted: 2026-10-17

Accepted: 2026-10-22

Published: 2026-11-07

Abstract

Public infrastructure issues such as potholes, road cracks, damaged streetlights, garbage accumulation, drainage problems, and waterlogging can affect road safety, public health, and the quality of everyday life. Reporting and managing these issues requires an organized process through which problems can be reported, located, monitored, and addressed. The Community Infrastructure Failure Intelligence Platform (CIFI) is a web-based application developed to support the reporting and management of public infrastructure issues. The platform allows users to submit complaints with issue descriptions, images, and location details, helping to maintain relevant information about reported problems. YOLOv11 is used for image-based detection of supported infrastructure issues to assist in identifying the type of problem shown in an uploaded image. The system also includes issue tracking, status updates, department-wise organization of complaints, and map-based visualization of reported issues. These features help present infrastructure complaints in a structured manner and make their progress easier to monitor. The platform brings issue reporting, image-based detection, location information, and complaint management together in a single application. The implementation is intended to support more organized handling of public infrastructure complaints and improve the visibility of reported issues and their status. The effectiveness of the implemented features can be assessed through functional testing and image-detection evaluation using actual test data.

Keywords

Public Infrastructure, Infrastructure Issue Reporting, YOLOv11, Object Detection, Complaint Management, Geographic Information System, Issue Tracking

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References

1. V. Varshitha, Satish, and Kiran Mohan, “YOLOv12 Hazard Detection,” 2026. Publication details need verification. Confirm the exact title, complete author names, journal or conference name, volume, issue, page numbers, and DOI from the original paper before submitting. [Google Scholar] [Crossref]

2. M. Praveen, D. Rohith, T. Swetha, K. Naveen, and P. Satish Kumar, “City Solution: A Decentralized Smart City Incident Management Platform,” International Journal of Research and Innovation in Applied Science, vol. 10, no. 11, pp. 121–127, 2025, doi: 10.51584/IJRIAS.2025.101100012. [Google Scholar] [Crossref]

3. IJRIAS+1 [Google Scholar] [Crossref]

4. K. Binu, V. K., M. R., A. V. Pillai, and S. Thampi, “Smart Reporter,” 2026. Publication details need verification. Confirm the exact title, full author names, IJERT volume/issue, page numbers, and official article link from the original paper. [Google Scholar] [Crossref]

5. A. H. Khandar, A. M. Chavan, S. S. Bhakte, S. V. Bakale, U. D. Tamgire, and L. K. Gautam, “AI Powered Civic Issue Resolution System in Urban Area,” International Journal of Innovative Research in Technology, vol. 12, no. 10, pp. 5575–5581, 2026. [Online]. Available: https://ijirt.org/article?manuscript=194774 [Google Scholar] [Crossref]

6. A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, “Internet of Things for Smart Cities,” IEEE Internet of Things Journal, vol. 1, no. 1, pp. 22–32, 2014. [Google Scholar] [Crossref]

7. R. G. Hollands, “Will the Real Smart City Please Stand Up? Intelligent, Progressive or Entrepreneurial?” City, vol. 12, no. 3, pp. 303–320, 2008. [Google Scholar] [Crossref]

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