NLP Civic Insights
Analyze civic trends and resolve issues faster
GRIEVAN uses NLP to categorize complaints, detect priority, and map infrastructure trends in real time for municipal teams.
Critical Alert
Water main failure
NLP detected high-priority sentiment regarding a water main burst in the North District. Immediate dispatch recommended.
Impact score
8.4/ 10
High urgency
Affected citizens
450/ households
Resolve in 1 tap
Entity extraction
Water leakage
+18%
Road potholes
+5%
Waste overflow
+3%
Semantic triage engine
GRIEVAN uses NLP to parse citizen reports, extracting locations, dates, and urgency levels to automate municipal routing.
Admin Command Center
Real-time analytics and routing
Live
Active
142
Pending
89
Resolved
2.4k
Auto-Classification
Automatically route complaints to relevant departments
Filter by urgency
Dispatch StatusAction Required
Assigning this complaint to the Water Works department will trigger an automated notification to the field team.
Civic Data // Live
Performance Metrics
System OnlineView Reports
KPI // 02
NLP Accuracy
Classification Rate
98.2 %
+0.4% improvement
Model Load72% Active
Processed12,400 Items
KPI // 03
Citizen Reach
Total Reports
4,280 Users
120+ new this week
Share ReportPublic Link
CIVIC-REP-9921
Resolved3,800
Pending480
KPI // 04
Satisfaction
Sentiment Score
4.8 / 5.0
Trend: Positive
Feedback92% Positive
LowTarget: 95%
Key Insights:
Fast response times correlate with higher citizen satisfaction scores.
System Status: Operational•Uptime: 99.9%