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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)
Crossref DOI: Available
ISO Certification: 9001:2015
Publication Fee: 599/- INR
Compliance: UGC Journal Norms
License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 04

Published on: April 2026

CIVI-SNAP: A DEEP LEARNING POWERED GEOTAGGED CIVIC ISSUE DETECTION AND MONITORING FRAMEWORK

Bipin S Menon Dhanya Rajeswari S

Gaurab Mudbhari

Department of Computer Science and Engineering,Sri Ramakrishna Engineering College, Coimbatore, Tamil Nadu, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

An AI-based smart civic complaint management system is presented in this paper with the goal of increasing the effectiveness and dependability of public issue reporting. In order to ensure authenticity and minimize false reports, the system enables citizens to submit complaints along with visual or video evidence. The precise location and time of the complaint submission are recorded using automatic geotagging and timestamping. The system verifies photos and identifies public issues like potholes, trash buildup, and damaged infrastructure using artificial intelligence techniques. To prevent repeated reports from the same location, duplicate complaint detection is used. An AI-based smart civic complaint management system is presented in this paper with the goal of increasing the effectiveness and dependability of public issue reporting. In order to ensure authenticity and minimize false reports, the system enables citizens to submit complaints along with visual or video evidence. The precise location and time of the complaint submission are recorded using automatic geotagging and timestamping. The system verifies photos and identifies public issues like potholes, trash buildup, and damaged infrastructure using artificial intelligence techniques. To prevent repeated reports from the same location, duplicate complaint detection is used.

How to Cite this Paper

Menon, B. S. & S, D. R. (2026). Civi-Snap: A Deep Learning Powered Geotagged Civic Issue Detection and Monitoring Framework. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(04). https://doi.org/10.55041/ijcope.v2i4.439

Menon, Bipin, and Dhanya S. "Civi-Snap: A Deep Learning Powered Geotagged Civic Issue Detection and Monitoring Framework." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i4.439.

Menon, Bipin, and Dhanya S. "Civi-Snap: A Deep Learning Powered Geotagged Civic Issue Detection and Monitoring Framework." International Journal of Creative and Open Research in Engineering and Management 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i4.439.

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  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
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  • Peer Review Type: Double-Blind Peer Review
  • Published on: Apr 16 2026
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