ML-Based Job Matching and Skill Development Recommendation System

The Job Recommendation System (JRS) is designed to enhance the job search and career development process through a sophisticated, data-driven approach. The system utilizes advanced algorithms to analyze and assess users' skill sets, providing personalized job recommendations based on their strengths and expertise. By evaluating the proficiency levels of various skills, the JRS identifies areas where users may need improvement and recommends tailored resources, such as instructional videos and educational documents, to help them bridge these gaps. In addition to skill assessment and development recommendations, the system offers real-time job listings that match the user's skill profile. It provides detailed information about available positions, including job descriptions, company details, and application requirements. This comprehensive approach ensures that users not only receive job suggestions that align with their current capabilities but also gain access to resources that can help them enhance their skills and improve their employability. The JRS aims to create a seamless and efficient job search experience by integrating skill assessment, personalized learning resources, and real-time job opportunities into a single platform. This holistic approach not only facilitates better job matching but also supports continuous professional growth, enabling users to achieve their career goals more effectively.