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
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 7 Issue 2
February 2026
Indexing Partners
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 |
Share this

CrossRef DOI is assigned to each research paper published in our journal.
IJLRP DOI prefix is
10.70528/IJLRP
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.