Campus Readiness Platform: A Software Based Research

Students in engineering colleges who prepare for campus recruitment commonly juggle separate resources: one application for aptitude practice, a different website for coding, and casual guidance from seniors on resumes and interviews.In this paper we introduce the Campus Readiness Platform, a fullstack web application that consolidates these activities into a single system controlled by the institution's Training and Placement (TnP) cell.At its centre is a five-round Placement Drive covering Aptitude, Technical, Coding, HR, and Verbal rounds, arranged in the same order that major recruiters such as TCS, Infosys, and Wipro follow.Every round is proctored using camera and microphone access along with tab-switch detection; repeated violations trigger forced submission, and a submitted answer can no longer be reopened.Architecturally, the system has three tiers: a React and Vite frontend, a Node.js and Express REST API, and a Neon PostgreSQL database, protected by JSON Web Tokens, bcrypt password hashing, and DOMPurify input sanitisation.The Claude API drives two student-facing features, namely an AI Career Chat that answers placement queries and an AI Mock Interview that runs HR, Technical, or Behavioural sessions through text or voice and ends with a scored report on communication, confidence, and technical depth.In addition, a Domain Explorer describes six career tracks, two independent leaderboards separate complete-drive results from casual quiz attempts, and faculty can upload questions in bulk using a quick form, CSV, or JSON.We built the platform with a design-science approach and assessed it through unit, integration, system, and security testing, in which every executed functional test case passed.During informal trials, ordinary REST calls returned in 200-500 ms, while AI responses needed 1.5-3 s.Overall, the results indicate that an inexpensive platform owned by the institution can pair sequential proctored testing with AI-based support for placement preparation.