Exploring document conversion of complex multilingual scanned PDF (Arabic & English) containing math notation and tables using Docling and Tesseract OCR.

Exploring docling: Document conversion, layout analysis, and OCR experiments for a .pdf document

Code challenge: Extracting RISC-V architectural parameters with llms

AWS Bedrock practice project with RAG implementation using Claude, Knowledge Bases, Guardrails, and Streamlit chat interface

Agentic AI-Powered HR Recruitment System Prototype

AI-powered system that analyzes Freelance contracts using AWS services.

AI-powered system that analyzes Egyptian legal contracts using AWS services.

Config files for my GitHub profile.

A collection of exercise solutions for the book, with explanations to clarify what each question is asking, especially for questions I find vague or ambiguous.

ML project for predicting chemically-induced skin reactions, leveraging various ML models and advanced molecular featurization to identify skin sensitizers as an ethical alternative to animal testing.

This repository highlights my top contributions to the Scribe-Data open-source project. It includes pull requests I worked on, showcasing my skills in writing efficient code, solving complex proble…

Python-based CLI for classifying dog breeds in images using pre-trained CNN models (ResNet, AlexNet, VGG).

A command-line interface (CLI) application for exploring and analyzing bikeshare data from Chicago, New York City, and Washington. This app provides insights into popular travel times, stations, tr…

This project utilizes AutoGluon to predict bike-sharing demand, leveraging automated machine learning techniques to build, train, and optimize predictive models efficiently and accurately.

In this project, I first developed code for an image classifier built with PyTorch and then converted it into a command-line application.

In this project I analyzed a data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue.