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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Internship Tracking and Reporting System

Authors: Dr. Tun Myat Aung;

Internship Tracking and Reporting System

Abstract

 Nowadays, the internet is widely used not only to fulfill daily needs but also as a tool for communication and idea exchange. The internship management is one area where technology can greatly improve efficiency and connection among students, companies, and institutions. The goal of this project is to develop a web-based system called Future Track Internship Tracking and Reporting System, aimed at helping computer science students to find suitable internship opportunities. The system connects students with companies and government organizations offering internships, making the process more organized and accessible. Through this platform, the students can search and apply for internships, and track their application status and progress. The employers can post job opportunities and view the students’ applications. University supervisors can monitor student performance and internship activities. By bringing all stakeholders, students, companies, and supervisors into one centralized system, the future track reduces manual effort, enhances collaboration, and improves the overall internship experience. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green