International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | SmartGovAI: A Multimodal AI Framework for Intelligent Public Complaint Management |
|---|---|
| ABSTRACT | The phenomenon of urbanization has led to many civic complaints, which include potholes, garbage dumping, drainage problem, water leaks, and broken street lights, and therefore there is a need for effective mechanisms of complaint management. The current systems of complaint management mostly use manual sorting of complaints. This paper proposes SmartGovAI, a multimodal Artificial Intelligence framework that integrates Natural Language Processing, Computer Vision, OCR, speech processing, and geospatial intelligence to automate complaint classification, verification, department routing, and priority prediction. The proposed framework aims to improve the efficiency, scalability, and transparency of public grievance management while providing a foundation for future smart city governance. A functional prototype comprising web and mobile applications has been developed to validate the proposed architecture and demonstrate the feasibility of the SmartGovAI framework. |
| AUTHOR | MANTHAN SHIRKE, PREYASH CHANDURKAR, TANUSHREE WANJARI, BISMEET KUKREJA, PROF. PREETI BHAGAT Department of Computer Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India Assistant Professor, Department of Computer Engineering, St. Vincent Pallotti College of Engineering and Technology, Nagpur, India |
| VOLUME | 186 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1407047 |
| pdf/47_SmartGovAI A Multimodal AI Framework for Intelligent Public Complaint Management.pdf | |
| KEYWORDS | |
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