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This work is licensed under a Creative Commons Attribution 4.0 International License.
AI COMPLAINT-PRIORITY SYSTEM FOR LOCAL GOVERNMENT
Dr. B. Sivaranjani, Mr. B. Dharneesh, Mr. S. Dharaneesh, Mr. K. Dharshan, Mrs. K. Abirami
DOI: 10.17148/IJARCCE.2026.15363
Abstract: The AI Complaint-Priority System for local government is a smart and easy-to-use platform where citizens can report problems like potholes, water issues, and noise complaints through a mobile app or website. Python is used to read and understand the complaints, while MySQL safely stores all user and complaint data.The AI automatically checks the urgency of each complaint by analyzing the words, location, and seriousness, then sends it to the correct department. A clean dashboard made with CSS shows real-time updates, reduces delays, avoids manual mistakes, and helps the government fix issues faster. It also identifies repeated problems in an area, improving planning and building trust with citizens.The system also provides automatic notifications to inform citizens about the status of their complaints. It keeps a complete history of complaints for future reference and analysis. Government officials can monitor complaint resolution progress through the dashboard. The platform supports data analytics and reports to help authorities understand common issues in different areas. This system improves transparency, accountability, and communication between citizens and local government authorities, making public service management more efficient.
Keywords: Artificial intelligence Complaint management System, Natural Language Processing Python, MySQL Database, Automated Complaint Prioritization.
Keywords: Artificial intelligence Complaint management System, Natural Language Processing Python, MySQL Database, Automated Complaint Prioritization.
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How to Cite:
[1] Dr. B. Sivaranjani, Mr. B. Dharneesh, Mr. S. Dharaneesh, Mr. K. Dharshan, Mrs. K. Abirami, “AI COMPLAINT-PRIORITY SYSTEM FOR LOCAL GOVERNMENT,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15363
