This project presents an intelligent job recommendation system that provides personalized job suggestions based on users’ skills, experiences, and preferences. The system uses content-based filtering and Random Forest classification techniques to analyze job descriptions, required qualifications, industries, and user profiles for accurate job matching. Users can create and update their profiles, allowing the platform to dynamically recommend relevant opportunities as new listings are added. By improving recommendation accuracy and user engagement, the system simplifies the job search process and enhances the overall recruitment experience.