Enabling a leading political party in India to transform public engagement through intelligent automation and sentiment-aware escalation
Enable a leading political party in India to address public enquiries, complaints, feedback, and suggestions received via calls and WhatsApp, while ensuring timely ticket creation, routing, and sentiment-aware escalation.
Unified AI-driven engagement platform ("Democratiq") integrating voice, WhatsApp, and web channels.
Incoming queries are automatically analyzed for sentiment (positive, neutral, negative) using NLP-based emotion classification.
System creates grievance tickets and assigns them to the relevant departments (e.g., infrastructure, education, healthcare).
Escalation logic ensures emotionally charged or high-priority complaints are instantly forwarded to human staff or party executives.
Dashboard for leadership with real-time task view, priority alerts, and citizen engagement analytics.
Note: Dashboard screens were created and owned by the client.
Shows scheduled tasks such as "Call Hospital Administrator about power issue," "Review daily grievance summary," and "Approve social media response strategy," reflecting how AI-driven routing helps prioritize sensitive issues.

Displays live campaign metrics and sentiment analytics showing overall response rate, positive sentiment, and active campaigns.

Displays the periodic trend observed across multiple KPIs like Sentiment, Engagement and Response Rate.

Overall response rate from public interactions
Positive sentiment from public interactions
Automated ticket creation and routing across multiple departments — drastically reducing manual workload.
Sentiment-based escalation improved response to high-tension or negative issues, strengthening public trust.
Centralized visibility for decision-makers via the "Executive Command Center" dashboard.
Real-time data-driven insights guiding outreach campaigns, grievance handling, and communication strategies.
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