Year: 2025
Type: article
Abstract: Internships serve as critical stepping stones for students and early-career professionals, offering practical exposure and skill development. However, finding suitable internship opportunities remains a challenge due to fragmented platforms and lack of intelligent filtering. This research introduces "InternConnect," a smart internship finder portal designed to bridge the gap between students and organizations using intelligent algorithms, machine learning techniques, and personalized matching. The system streamlines internship discovery, application, and management using a user-centric approach.
Authors: Chumman Lal, Payal Chandrakar, Vasant Sahu
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: gold
OpenAlex ID: W4411096892