An AI-Powered Career Readiness Ecosystem for Campus Placements

Campus placement preparation is a crucial phase in a student’s academic journey; however, the current ecosystem is highly fragmented, requiring students to depend on multiple platforms for aptitude practice, coding preparation, resume building, and interview training. This lack of integration leads to inefficiencies, poor progress tracking, and difficulty in assessing overall readiness. Students often struggle to identify their weaknesses due to the absence of centralized feedback, while Training and Placement Officers (TPOs) lack real-time insights into student performance, and recruiters face challenges in evaluating candidates holistically. To address these limitations, this paper proposes PrepWise AI, an AI-powered career readiness ecosystem that integrates all aspects of placement preparation into a unified, intelligent platform. The system combines aptitude and coding assessments, AI-proctored mock interviews, and ATS-based resume analysis within a single web-based environment, enabling a seamless and structured learning experience. It leverages Artificial Intelligence and Machine Learning techniques to provide personalized recommendations, adaptive testing, and predictive performance analytics. Additionally, the platform offers real-time dashboards for TPOs, allowing continuous monitoring of student progress, while recruiters gain access to structured candidate profiles and intelligent shortlisting based on skill proficiency, consistency, and behavioral insights. Built on a scalable cloud-based architecture, the system ensures high availability, secure data handling, and efficient performance under concurrent usage. By centralizing preparation, evaluation, and recruitment processes, PrepWise AI bridges the gap between academic learning and industry expectations, ultimately improving placement success rates, reducing recruitment time, and enhancing overall efficiency for students, institutions, and recruiters.