International Journal of Leading Research Publication

E-ISSN: 2582-8010     Impact Factor: 9.56

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Monthly Scholarly International Journal

Call for Paper Volume 7 Issue 2 February 2026 Submit your research before last 3 days of to publish your research paper in the issue of February.

AI – Powered Student Internship Platform

Author(s) Mrs. Renuga Devi M, Dr. S. Prabakaran, Ms. Thrisha D, Ms. Vaishnavi S, Ms. Vijay Sri V, Ms. Srinithi S
Country India
Abstract Internships serve as a useful point of connection between formal and employing industry. Nevertheless, the available avenues of giving internships are not very successful and are not usually equitable and fair in matching academic background and experience. In the given paper, an AI-Powered Student Internship Platform is introduced which applies machine learning techniques and recommender systems that have the potential to align the students with internships according to their predetermined skill sets, academic grades, and professional objectives. The platform has positive impacts on students, and this enables them to scan individualized and probable opportunities. Employers find the platform advantageous and that saves employers a lot of time taken to shortlist the candidates. This platform is useful to institutions, as it has real-time dashboards of tracking student status and progress. In addition, using the AI technology, i.e., recommendation systems, predictive analytics, chat bots, the platform suggests the recommendations to the students, increases the employability of the latter, and demonstrates transparency in the student internship assignments.
Published In Volume 7, Issue 2, February 2026
Published On 2026-02-02

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