During my Master's program at the Military College of Signals, NUST, I delved into cutting-edge research on YOLO for real-time object detection. Notable accomplishments include:Developing custom datasets for object detectionImplementing YOLOv8 for enhanced object detection capabilitiesThesis: "Aircraft Detection with YOLOv8" (submitted for publication)My research expertise lies in Convolutional Neural Networks (CNN) and YOLOv8 for real-time detection, demonstrating my proficiency in navigating complex projects and driving innovative solutions.

During this time, I worked in a team to develop, maintain update and support of different web applications,writing codes for algorithm based solutions, training deep learning (CNN) models, selecting techniques andmethods for creating solutions and developing technical documentations of user manuals.

I have done research in Deep learning, Machine Learning and Python and MATLAB during this period. During this period, I worked on different projects Including Diabetes detection, Object Detection and Tracking, YoloDetection, apply different convolution Neural Networks.