This project focuses on developing an AI-powered code review tool that uses Natural Language Processing (NLP) and deep learning to detect bugs, vulnerabilities, and code inefficiencies in software repositories. The system will integrate with platforms like GitHub and GitLab, analyzing pull requests and commits for security vulnerabilities, coding standard violations, and logical errors. It will also provide suggestions for improving code readability and efficiency. The model will be trained on large-scale open-source codebases and will support multiple programming languages.
Supervisor
Hasan Khaled
Committee
Ibrahim Salem - Mohammad Ali
Students
Khaled Awadh - Omar Hasan