Rashhly - Personalized Job Recommendation System (Graduation Project)

Developed as a graduation project from the Faculty of Computers and Information, specializing in intelligent job matching.

Built a mobile application using Flutter that goes beyond traditional searching by providing personalized career recommendations.

Implemented algorithms to match user skills and profiles with the most relevant job opportunities.

Focused on a data-driven approach to enhance the recruitment process for both employers and job seekers.

Applied rigorous Software Engineering methodologies, from system analysis to final deployment.

Utilized Git for collaborative development and version control within the project team.