Hazem-Abbas
I am passionate about computer vision and machine learning. I am a quick learner with strong problem-solving and analytical skills.
EL-Qalyubeia/Egypt
Pinned Repositories
Covid-19-Ai-Application
Covid 19 AI is a desktop application that uses YOLOv5 to detect faces and classify them as wearing a face mask, or not, or wearing it incorrectly. The application is built using Python and OpenCV, making it easy to install and use on any desktop platform. It is designed to be user-friendly.
Finding-Donors
This GitHub repository contains code for a Udacity project where machine learning techniques are applied to preprocess data and test different models. The goal of this project is to develop a model that can accurately predict a certain outcome based on the given input data.
Image-Processing-Application
Developing an image processing application using Matlab GUI that provides many filters and features
Standard-and-Scientific-Calculator
Developing a calculator application using GUI C++ that supports standard and scientific modes
Tiny-Language-Compiler
Develop a GUI Compiler for tiny language using C++
Visual-Question-Answering
The VQA system in this project uses a multimodal approach, combining both image and text data to make predictions. Specifically, it uses a convolutional neural network (CNN) to extract features from the image, and a recurrent neural network (RNN) to process the question text. the CNN and RNN outputs are combined to produce the answer.
Hazem-Abbas's Repositories
Hazem-Abbas/Covid-19-Ai-Application
Covid 19 AI is a desktop application that uses YOLOv5 to detect faces and classify them as wearing a face mask, or not, or wearing it incorrectly. The application is built using Python and OpenCV, making it easy to install and use on any desktop platform. It is designed to be user-friendly.
Hazem-Abbas/Finding-Donors
This GitHub repository contains code for a Udacity project where machine learning techniques are applied to preprocess data and test different models. The goal of this project is to develop a model that can accurately predict a certain outcome based on the given input data.
Hazem-Abbas/Visual-Question-Answering
The VQA system in this project uses a multimodal approach, combining both image and text data to make predictions. Specifically, it uses a convolutional neural network (CNN) to extract features from the image, and a recurrent neural network (RNN) to process the question text. the CNN and RNN outputs are combined to produce the answer.
Hazem-Abbas/Image-Processing-Application
Developing an image processing application using Matlab GUI that provides many filters and features
Hazem-Abbas/Standard-and-Scientific-Calculator
Developing a calculator application using GUI C++ that supports standard and scientific modes
Hazem-Abbas/Tiny-Language-Compiler
Develop a GUI Compiler for tiny language using C++