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Crowdsourced Civic Issue Report and Resolution System by AI and ML

 

 

Ms. Nivetha V, Mr. Sribalaji P, Mr. Praveen kumar S, Mr. Kamalesh B Mrs. Kirthiga R (Mentor)

ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

SRI SHAKTHI INSTITUTE OF ENGINEERING AND TECHNOLOGY , COIMBATORE.

 

 

Abstract - Crowdsourced Civic Issue Reporting and Resolution System Using AI and ML is the project presents a bilingual (English–Tamil) web application designed to make civic issue reporting more accurate and efficient. Citizens can report problems such  as potholes,   garbage accumulation,    and streetlight    failures  by submitting descriptions, locations, and images without giving petitions to the government. To enhance reliability, the system uses Artificial Intelligence (AI) to automatically assign priority levels based on the severity and urgency of each issue. At the same time, a Machine Learning (ML) model verifies the authenticity of uploaded images, detecting fake, duplicated, or manipulated reports that commonly slow down civic workflows. Verified issues are forwarded to the appropriate authorities for timely action. By combining crowdsourced reporting with AI and ML automation, the system improves transparency,  reduces manual effort,     and supports faster    resolution of critical   civic problems, making it suitable for smart city use.
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Key Words: AI, ML, Civic Reporting, Image Verification, Bilingual Web App

 

 

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