International Journal of Science, Engineering and TechnologyAuthors: Thejas Raja Eladassery, Sanika Kalaskar, Aditi Jadhav, Shreya Gaikwad, Dr.V.G.Kottawar
Abstract: Many higher education institutions still have a disjointed, manual, and ineffective campus placement process, which results in low transparency, little student visibility, and less than ideal recruitment results. In order to modernise and simplify campus placement management through a centralised, skill-centric ecosystem, this paper introduces TnP Vision, a unified platform driven by artificial intelligence. Student profiles, academic verification, recruiter communication, and placement procedures are all combined into one digital platform by the system. While faculty-driven verification guarantees the legitimacy and authenticity of accomplishments, TnP Vision uses Natural Language Processing (NLP) to extract and classify skills from unstructured student data. For students, teachers, recruiters, and administrators, the platform offers role-based dashboards that allow for customised access to insights, automated portfolio creation, and structured interview feedback. Real-time analytics also facilitate institutional performance monitoring and data-driven decision-making. When compared to conventional placement systems, exper-imental evaluation shows that the suggested system greatly increases student engagement, data reliability, and candidate discovery efficiency. TnP Vision improves employability outcomes and builds recruiter trust by switching from resume-based evaluation to skill-based discovery and verified profiles. By integrating AI-driven skill identification, academic valida-tion, and integrated workflow management into a single scalable platform, the suggested solution fills a significant gap in current placement systems and offers a revolutionary approach to campus recruitment in higher education.
