INTERVIEW PREPARATION AND INTERNSHIP FINDER APPLICATION

In the modern competitive job landscape, students often face difficulties in preparing effectively for interviews and identifying suitable internship opportunities. This paper proposes an intelligent integrated platform that combines interview preparation resources with an internship recommendation system. The system utilizes machine learning techniques to analyze user profiles, including skills, academic background, and interests, to deliver personalized interview questions, mock assessments, and internship recommendations. By bridging the gap between preparation and opportunity discovery, the system enhances employability and career readiness. The proposed model demonstrates improved efficiency, personalization, and accessibility compared to traditional methods.

Interview Preparation, Internship Finder, Machine Learning, Recommendation System, Career Guidance, NLP