Enhancing Fresher Employability through Intelligent Job Matching and Skill Gap Analysis

In today’s job market, mismatches between candidate skills and industry requirements reduce hiring efficiency and limit fresher employability. This work presents a role-based intelligent job recommendation system with integrated skill gap analysis. The platform follows an admin-approved registration process for both users and companies to ensure authenticity and secure access. Verified companies can post vacancies, manage applications, and communicate with applicants, while users can build detailed profiles including skills, education, projects, internships, and certifications. The system computes a profile–job match percentage, identifies missing skills for selected roles, and recommends personalized learning resources with estimated completion timelines. Job recommendations are also generated based on user profile data and activity. Overall, the proposed framework improves recruitment accuracy while supporting continuous skill development.