A field-force mobile application purpose-built for large-scale constituency surveys, combining AI-driven sentiment analytics, GPS-verified geo-tagging, and live dashboards for political intelligence and decision-making.
Viswa Projects, a leading political consultancy firm in Hyderabad, required a robust field survey tool capable of collecting structured voter data at massive scale across multiple constituencies. Their existing paper-based and generic-app workflows resulted in data loss, inconsistent geo-coding, and week-long delays in analytics.
Vianmax designed and delivered a full-stack Android application backed by a cloud analytics engine. Field agents use the app to capture demographic data, conduct structured questionnaires, photograph respondents' locations, and auto-attach GPS coordinates — all offline-first, syncing to the central dashboard when connectivity is restored.
Survey throughput increased from ~300 paper forms per day per team to 3,000+ digital submissions — eliminating transcription delays entirely.
GPS-verified geo-tagging with ward-boundary validation eliminated the 12–18% location error rate present in the client's previous manual system.
Dashboard insights now available within seconds of field submission — down from a 5–7 day reporting lag with the legacy workflow.
Successfully scaled to cover over 20 constituencies simultaneously with 200+ concurrent field agents, with zero reported data conflicts or sync failures.
The regional-language NLP model achieved 87% sentiment classification accuracy on held-out validation data, enabling reliable issue-level mood mapping for campaign strategy.
Vianmax Techno Ventures Pvt. Ltd.
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