CaminoElite – Bridging the Gap Between Learning and Career Readiness

The rapid growth of computer science and engineering (CSE) education has created a need for integrated platforms that support students in academic learning, resume preparation, and interview readiness. Existing solutions are often fragmented, addressing individual aspects such as coding practice or resume checking, but lacking a unified approach. CaminoElite is an AI-powered, real- time platform designed specifically for CSE students, combining three core modules: a personalized AI Tutor, a Resume Analyzer, and an Interview Coach. The Tutor module offers adaptive learning, interactive question- answering, gamified exercises, and a free library with curated and student- uploaded resources. The Resume Analyzer evaluates resumes for technical roles, provides ATS- compatible feedback, highlights skill gaps, and generates impact-driven content. The Interview Coach conducts mock interviews with adaptive questioning, technical and HR evaluation, and real-time emotion and confidence analysis. CaminoElite incorporates security measures, data privacy protocols, and scalable real- time handling to ensure a safe and efficient user experience. This paper presents the system design, methodology, dataset preparation, implementation, and evaluation of CaminoElite, demonstrating its effectiveness in enhancing learning outcomes, resume quality, and interview performance for CSE students. Future expansion includes support for additional engineering branches and multilingual learning environments.