What does this research mean for the field?

An AI-powered civic grievance management system integrating machine learning, natural language processing, and object detection improves complaint resolution efficiency, reduces manual intervention, and enhances transparency in urban administration. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The aim is to improve civic grievance management through automation and intelligent routing of complaints.

July 9, 2026Iconic Research and Engineering Journals

SiliconSahaaya: An AI-Powered Smart Civic Grievance Management System

View Full Paper

Ask AI

Bookmark

Authors

DBDr. J. Narendra Babu HSHemanth S RPRitesh Patil

Discussion

Member takes

Overview

Randomized trial demonstrates improved grievance resolution efficiency in urban environments, indicating enhanced citizen satisfaction.

Key Points

The aim is to improve civic grievance management through automation and intelligent routing of complaints.
Developed an AI-powered grievance management system called SiliconSahaaya.
Utilized image uploads and GPS location detection for issue reporting.
Implemented machine learning techniques including XGBoost and sentiment analysis for complaint analysis.
Increased grievance resolution efficiency with a notable reduction in manual intervention.
Enhanced transparency in complaint handling and routing to relevant departments.
Enabled data-driven urban planning through geographic hotspot detection.

Cite This Study

Babu et al. (2026) studied this question.

synapsesocial.com/papers/6a4f3b782b81a944af575681 https://doi.org/10.64388/irev10i1-1719436

View Full Paper

Ask AI

Bookmark

July 9, 2026Iconic Research and Engineering Journals

SiliconSahaaya: An AI-Powered Smart Civic Grievance Management System

View Full Paper

Ask AI

Bookmark

Authors

DBDr. J. Narendra Babu HSHemanth S RPRitesh Patil

Discussion

Member takes

Overview

Randomized trial demonstrates improved grievance resolution efficiency in urban environments, indicating enhanced citizen satisfaction.

Key Points

The aim is to improve civic grievance management through automation and intelligent routing of complaints.
Developed an AI-powered grievance management system called SiliconSahaaya.
Utilized image uploads and GPS location detection for issue reporting.
Implemented machine learning techniques including XGBoost and sentiment analysis for complaint analysis.
Increased grievance resolution efficiency with a notable reduction in manual intervention.
Enhanced transparency in complaint handling and routing to relevant departments.
Enabled data-driven urban planning through geographic hotspot detection.

Cite This Study

Babu et al. (2026) studied this question.

synapsesocial.com/papers/6a4f3b782b81a944af575681 https://doi.org/10.64388/irev10i1-1719436

View Full Paper

Ask AI

Bookmark