2019-Present
Data and Knowledge Engineering
Otto von Guericke University Magdeburg
Magdeburg, Germany
2013-2016
Computer Science & Engineering
University of Chittagong
Chittagong, Bangladesh
CGPA: 3.39 (out of 4.00)
September 3, 2018
Five courses
Grade: 100%
Verify at: coursera.org/verify/specialization/TAP6WAY7YDLT
August 27, 2018
Grade: 100%
Verify at: coursera.org/verify/3B5YRR268LZE
July 8, 2018
Grade: 100%
Verify at: coursera.org/verify/4P2B96WTPEYP
September 2018
I have used darkflow(tensorflow translation of YOLO) object detection system to detect custom object. I made my own dataset of 267 images by taking photos using my camera phone and annotated them using labelImg.I trained the model for 9 hours.After 60 epochs and with a loss around 3.8 I stopped training. Because lack of time and resource my confidence factor is low for objects. However it can detect objects from image, video and webcam. Description in the link below.
Description link: https://github.com/ratulKabir/Custom-Object-Detection-using-Darkflow
Python 3.6, Tensorflow, Opencv
September 2018
It is a face detection system where Opencv Haar Cascades is used. No DeepLearning api is used here.
Description link: https://github.com/ratulKabir/Face-Detection-using-OpenCV
Python 3.6, Opencv
