End-to-end retail store intelligence system built for Purplle Tech Challenge 2026. Processes raw CCTV footage using YOLOv8 + ByteTrack to detect visitors, tracks movement across zones, and streams structured events into a Spring Boot REST API. Features real-time metrics,conversion funnel analysis, zone heatmaps,and AI-powered anomaly detection
Real-time Store Intelligence System that transforms CCTV footage into actionable retail insights through computer vision, event processing, and analytics dashboards.
Designed and implemented a near-real-time data warehouse for METRO Pakistan using MESHJOIN algorithm in Java for efficient customer transaction analysis.
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