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Summary
Practicing cybersecurity professional with early-career experience at multiple firms.
Published undergraduate research applying computer vision and machine learning to traffic-safety problems (helmet detection, violation detection, parking management). ijraset+1
Active in college technical activities and student achievements while at PVPPCOE, including committee membership and presentations. ac+1
Publishes and shares technical materials online (Scribd uploads), indicating engagement with teaching or documentation of technical topics. scribd+1
Work
Education
Projects
Writing
SAFEPARK: Vehicle Detection and Traffic Violation Parking Management System
April 1, 2024Paper describing a Bike Traffic Violation System using Haar Cascade and YOLOv3 for detection, plus an SVC-based machine learning component for validation; addresses helmet detection, triple riding, and parking-spot availability.
Traffic Rules Violation Detection using Machine Learning Techniques
Publication on automated detection and categorization of traffic violations (helmet use, triple riding) using machine learning and computer vision methods.
Helmet Detection using Machine Learning Approach
Research on helmet-detection frameworks using CNNs and object-detection models (YOLO variants and Haar Cascade) for real-time monitoring of helmet compliance.