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GRENZE International Journal of Engineering and Technology Vol. 12 (2026), Issue 1

CrowdPalz: A Hybrid AI Platform for Real-Time Venue Analytics and Personalized user Engagement

Authors

Abhaykumar Roy, Madhura Sanap, Aakash Darda, Aayush Barsainya, Aaryaman Mishara

Abstract

For public venues with limited resources, CrowdPalz presents a hybrid AI solution for personalized user engagement and real-time venue occupancy analytics. The system offers customized notification and recommendation features, dynamic sentiment-driven rating conversion, and privacy-preserving crowd estimation by fusing lightweight computer vision with generative AI. Results from the pilot deployment demonstrate sub-second latency, over 90% occupancy detection accuracy, and over 40% increased user engagement through incentive-aware notifications. CrowdPalz presents a scalable model for reasonably priced, AIpowered venue management that integrates operational incentives with real-time analytics while protecting user privacy.