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I hold a strong foundation in formulating machine learning models using high-level frameworks and analyzing large datasets to identify business trends. My work has consistently driven informed decision-making across diverse business functions. As an exceptional IT support technician, I possess a strong diagnostic insight into hardware and software-related problems, coupled with excellent communication abilities to provide quality support to customers.
Real-time Intrusion Detection using YOLOR Framework
Facial Landmark Detection using Open Source Computer Vision Library
Real time Face recognition attendance system using Dlib, Open CV
Traffic Light Detection and Color
Recognition
Real time Object Detection using
YOLOv4
Automatic Number Plate Recognition using YOLOR + EasyOCR Framework
Pose Estimation - Bicep Curl Counting using YOLOv7
Human Emotion Classification from Facial images
Real-time Car Velocity and Traffic Counting using YOLOR Framework