Hossam Asaad's Projects
Create an arabic document digitization using tesseract
Console applications to apply some algorithms and concepts
Trying to mimic a social media app in console to apply some Object Oriented Programming concepts and Design patterns in Python
CS50_AI Projects
Data Preprocessing, Data Analysis, Creating Models and Playing with some datasets
Data Structures were Implemented by me while studying Data Structures
Create a backend API for an e-commerce platform using Spring Boot and MySQL. This API will serve as the foundation for the e-commerce application, providing endpoints for managing products, user authentication, shopping cart functionality, and order processing.
102 Category Flower Dataset using ResNet50
Image Captioning is a task that combines computer vision and natural language processing, where it aims to generate descriptive legends for images. In this project I tried to apply some different architectures to create image caption generator like merging, visual attention and transformers
Process text, including tokenizing and representing sentences as vectors and Applying some concepts like RNN, LSTM and GRU to create a classifier can detect the language in which a sentence is written from among 17 languages.
Practise some problem solving on leet code
Litten is a python package to help visualize Tensorflow neural network models architecture.
Name verification is the process of detecting if the entered Arabic triple name is real or not using Bidirectional LSTM..
Some neural network architectures implementation using Tensorflow (Keras)
This project is an online chat system built using a combination of modern technologies and frameworks. It provides a scalable and efficient solution for real-time messaging and collaboration.
Solutions of Problems I solved while practising Problem Solving
Stores code and results for the "Build ML Workflow For Scones Unlimited" project in the Udacity AWS MLE Nanodegree
Some python scripts to do tasks
Build some semantic segmentation models and train them on CamVid dataset
Building Stores REST API using Flask Applying some CRUD operations ans authentication using JWT
Apply Semantic segmenation techniques such as UNet, DeepLab, FCN, ShelfNet and SegNet to water bodies staelite images and deploy using flask and streamlit