Published Paper Details:

The modern job market is characterized by rapidly evolving skill requirements, making it challenging for students and professionals to identify and address the specific gaps in their knowledge for the desired career paths. This paper presents the Skill Gap Analyzer, a full-stack web application designed to provide a clear, data-driven, and personalized analysis of a user's skill set against industry requirements. The system compares user input skills against a comprehensive database of skills required for various job roles. The core features of the visualization of this "skill gap" through a series of interactive charts, which offers an intuitive understanding of the user's strengths and weaknesses. Furthermore, the application generates a dynamic learning path by fetching relevant high-quality educational resource from public APIs like YouTube for each identified missing skill. The project is implemented using a modern tech stack, featuring a React.js front-end, a Python FastAPI backend, and a MongoDB database, demonstrating a robust and scalable architecture.