Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)

CIVII: An AI-Assisted Civilian Initiative Platform for Post-Disaster and Civic Issue Reporting

Authors
R. Karthick1, *, S. Karolin Felix1, R. Yogitha1
1Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India
*Corresponding author. Email: Karthickkrishna2005@gmail.com
Corresponding Author
R. Karthick
Available Online 16 June 2026.
DOI
10.2991/978-94-6239-693-7_40How to use a DOI?
Keywords
Civic issue reporting; disaster management systems; edge artificial intelligence; geofencing notifications; mobile computing; multimedia verification; public safety informatics; smart urban services
Abstract

Civii is a citizen-powered mobile-based disaster reporting and rescue support system that addresses the communication and coordination gap during emergencies. The application enables users to capture and report critical incidents using images or videos directly from their smartphones, with full support for offline functionality. Reports are stored locally when internet access is unavailable and automatically synchronized with the backend server once connectivity is restored. Civii integrates an AI/ML module built with Python (using TensorFlow and OpenCV) to analyze uploaded media and detect emergency conditions such as fire, flood, smoke, or the presence of people in distress. Based on the AI analysis, the system generates and delivers automated rescue guidance messages to the user, providing immediate actionable support. Civii also includes a real- time push notification system that alerts users within a 1 km radius of any new incident, activating local citizen responders and volunteers. In addition to disaster scenarios, Civii supports civic reporting for issues like damaged roads, power failures, water leaks, and garbage overflow, making it a multipurpose citizen assistance platform. A secure web dashboard is available for authorized responders and administrators to access geo-tagged reports, assess severity, and coordinate appropriate responses. Civii combines AI-driven intelligence, offline capability, and community collaboration to build a smarter, more resilient emergency and civic support infrastructure.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
16 June 2026
ISBN
978-94-6239-693-7
ISSN
2589-4919
DOI
10.2991/978-94-6239-693-7_40How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - R. Karthick
AU  - S. Karolin Felix
AU  - R. Yogitha
PY  - 2026
DA  - 2026/06/16
TI  - CIVII: An AI-Assisted Civilian Initiative Platform for Post-Disaster and Civic Issue Reporting
BT  - Proceedings of the International Conference on Intelligent Systems for a Sustainable Future (ISSF 2026)
PB  - Atlantis Press
SP  - 397
EP  - 412
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-693-7_40
DO  - 10.2991/978-94-6239-693-7_40
ID  - Karthick2026
ER  -