Authors : Chumman Lal; Payal Chandrakar; Vasant Sahu

Volume/Issue : Volume 10 - 2025, Issue 5 - May

---

Google Scholar : https://tinyurl.com/y5tmnvrk

DOI : https://doi.org/10.38124/ijisrt/25may2247

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

---

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.

Keywords : Internship Finder, Smart Portal, Machine Learning, Career Guidance, Web Application

References :

1. Agarwal, R., & Joshi, M. (2021). Artificial Intelligence in Recruitment: Challenges and Prospects. International Journal of Computer Science.
2. Kumar, S., Singh, P., & Verma, A. (2022). Recommender Systems in Job Portals: A Survey. Journal of Web Engineering.
3. Bhatia, P., & Sharma, K. (2020). Smart Portals for Internship and Job Search Using ML Algorithms. Procedia Computer Science.
4. LinkedIn Official Blog. (2023). How LinkedIn’s AI Suggests Jobs.
5. Internshala Help Center. (2023). How Internships Are Listed and Filtered.
6. Jain, R., & Thakur, A. (2021). Resume Parsing Techniques Using Natural Language Processing. AI & Society.