I have worked on research-driven and software development projects in data science, machine learning, software engineering, and open-source software (OSS) research. Below is a selection of some projects.
๐จโ๐ป GHMap: Mapping GitHub Events to Contributor Activities
A Python-based tool that converts raw GitHub event data into structured contributor activities for OSS community analysis.
- Key Features: Event classification, contributor activity mapping, structured dataset generation.
- Technologies: Python, GitHub API, JSON, Data Processing
- ๐ GitHub Repository: GHMap
๐ Twitter Sentiment Analysis
A Natural Language Processing (NLP) model for analyzing sentiment in Arabic tweets, detecting dialects, and classifying topics.
- Key Features: Sentiment classification, dialect recognition, tweet topic modeling.
- Technologies: Python, BERT, Transformers, NLP
โฝ Soccer Players Face Recognition
A computer vision model that performs real-time face recognition to classify soccer players from images and videos.
- Key Features: Face detection, classification, real-time recognition.
- Technologies: OpenCV, LBPH, SVM, Python
- ๐ GitHub Repository: Soccer Players Face Recognition
๐ฅ Cancer Mortality Rate Prediction
A data-driven statistical model that predicts cancer mortality rates based on historical health data.
- Key Features: Predictive modeling, statistical trend analysis, data visualization.
- Technologies: R, Regression
๐ฆ Accident Management System
A web application designed to help magistrates manage judicial accident case records efficiently.
- Key Features: Case tracking, judicial record management, user authentication.
- Technologies: Spring Boot, MVC, Data JPA, Thymeleaf, Ajax
A complete list of my projects can be found on GitHub.