INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026  
Internship Portals: A Systematic Review of Current Platforms and  
Future Directions  
Pranali Chipade, Himanshu Taiwade, Disha Channawar, Durga Shende, Isha Baghele, Payal Gautam  
Department of Computer Science and Engineering, Priyadarshini College of Engineering, Nagur  
DOI : https://doi.org/10.51583/IJLTEMAS.2026.150100002  
Received: 29 December 2025; Accepted: 03 January 2026; Published: 21 January 2026  
ABSTRACT  
This review's main contribution is the identification of research gaps and new trends, such as virtual internship  
models, secure verification frameworks, and AI-driven recommendation systems.by giving students, employers,  
and educational institutions a common digital platform, internship portals are crucial in bridging the gap between  
academic learning and real world industry experience. Online internship platforms have received a lot of  
attention lately due to the growing need for remote internship opportunities and skill-based employability. The  
functionality, efficacy, and limitations of online internship portals are the main topics of this paper's systematic  
review of the literature. The review examines research papers from academic databases like IEEE Xplore,  
Scopus, and Google Scholar that were published between 2020 and 2024. This review offers a comprehensive  
analysis of platform features, security and verification issues, and the function of intelligent matching  
mechanisms, in contrast to previous surveys that primarily concentrate on usability or employability outcomes.  
Common drawbacks identified by the study include limited integration with academic institutions, inadequate  
verification of internship postings, a lack of personalized recommendations, and data privacy issues.  
Keywords: Internship portals, systematic review, online internships, employability, AI-based recommendations,  
virtual internships.  
INTRODUCTION  
Internships are essential for connecting academic understanding with practical work experience. Historically  
advertisements, campus placement drives, or personal connections were used to find internships. But these  
approaches frequently lacked scalability, accessibility, and efficiency. These issues are addressed by the rise of  
online internship portals, which offer centralized platforms for employers to effectively handle applications and  
for students to  
peruse, apply, and track opportunities. The internship ecosystem has changed as a result of the emergence of  
digital technologies, such as Indeed, LinkedIn, and Internshala, which provide automated matching, verification,  
and analytics to enhance placement results.  
Portals for online internships offer both employers and students a controlled and convenient setting. Typical  
features of these platforms include skill-based job matching, resume uploading, profile creation, and real-time  
application tracking. They provide employers with performance analytics, automated communication, and  
candidate shortlisting tools. In addition to streamlining the hiring process, these systems guarantee openness and  
equal opportunity for candidates from a variety of geographic areas. The pandemic boosted the use of online  
portals for end-to-end internship management and expedited the development of remote and virtual internship  
formats. Numerous recent studies look at trainee outcomes, portal usability, and the incorporation of AI into  
applicant tracking and candidate matching.  
Online internship portals do, however, have some drawbacks in spite of these benefits. Their efficacy may be  
hampered by problems like data privacy, fraudulent postings, a lack of verification, and unequal access to  
technology. To get around these restrictions, cooperation with validated institutions, user authentication, and  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026  
ongoing monitoring are crucial. All things considered, these platforms are a big step towards workforce readiness  
and digital transformation in higher education, supporting a productive and welcoming internship ecosystem.  
LITERATURE SURVEY  
Employability Prediction: A Survey of Current Approaches, Research Challenges and Applications[1]  
This paper reviews various techniques for predicting a student’s employability based on academic records, skills,  
and background information. The authors explain how machine learning methods can help with career planning  
by analyzing student data. The study points out several issues, including limited data availability, privacy  
concerns, and challenges in clearly explaining prediction results. While the survey is useful for understanding  
employability assessment, it does not address how these prediction techniques can be used within an online  
internship portal. This shows a need for more research on combining employability prediction with internship  
management systems.  
Closing the Doors of Opportunity: A Field Theoretic Analysis of the Prevalence and Nature of Obstacles  
to College Internships[2]  
Hora et al. examine the structural and social barriers that limit student access to college internships using a field-  
theoretic perspective. The study identifies key obstacles such as unpaid internship models, limited professional  
networks, institutional restrictions, and socio-economic inequalities that hinder participation. The authors point  
out that these barriers disproportionately impact students from underrepresented backgrounds. While the study  
offers important insights into access and equity issues, it does not explore how digital internship portals or online  
platforms could help address these challenges. This leaves a gap in using technology to improve internship  
accessibility.  
Exploring Online Internships During the COVID-19 Pandemic in 2020 and 2021: Results from a Multi-  
Site Case Study[3]  
Hora et al. study the use and effectiveness of online internships during the COVID-19 pandemic through a multi-  
site case study conducted between 2020 and 2021. The study finds that virtual internships allowed for continuity  
in experiential learning by providing flexibility and remote access when traditional internships were interrupted.  
It also points out better access for students who faced geographical and mobility limits. However, the research  
mainly looks at short-term changes and does not assess long-term results, platform design issues, or security and  
verification problems related to online internship systems.  
[4]  
Methods to Achieve Effective Web-Based Learning Management Modules: MyGJU versus Moodle  
This study compares two popular web-based learning management systems to evaluate how well they support  
online education. The authors look at factors like usability, system performance, and user satisfaction. The results  
show that well-designed and structured digital platforms improve user engagement and system efficiency.  
Although the study does not directly focus on internships, its findings help in understanding how online  
internship portals should be designed for better usability, reliability, and scalability.  
[5]  
Student-Industry Matching for Internship Placement  
This paper suggests an automated way to match students with suitable internship opportunities based on their  
skills, academic background, and industry needs. The study shows that automated matching systems can improve  
placement efficiency and cut down on manual work in allocating internships. However, the research does not  
discuss real-world deployment, verification of internship providers, or security measures, which are essential  
parts of a complete online internship portal.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026  
A Machine-Learning-Based Approach to Support Academic Decision-Making at Higher Educational  
Institutions [6]  
This research presents a machine learning-based decision support system that assists students and academic  
institutions in making informed choices. The system analyzes academic data to provide recommendations for  
course selection and career planning. The study highlights how machine learning can enhance decision-making  
processes. However, it does not include internship opportunities or features for industry collaboration, limiting  
its usefulness for internship portals.  
Internships Before and During COVID-19: Experiences and Perceptions of Undergraduate Interns and  
Supervisors[7]  
This study compares internship experiences before and during the COVID-19 pandemic using surveys. The  
authors report significant changes in internship structure, communication, and supervision due to the shift to  
online and hybrid formats. The findings offer valuable insights into how internships adapted to remote  
environments. However, the study does not assess the role of dedicated digital internship platforms in managing  
or supporting these changes.  
[8]  
The Practice of Online Internships  
This work discusses the overall practice and implementation of online internships. The authors highlight benefits  
like flexibility, fewer geographical barriers, and broader access to opportunities. The study also mentions  
challenges, including limited interaction, difficulties in supervision, and assessment issues. While the discussion  
is useful for understanding online internships, it does not focus on the technical design, security, or verification  
features of online internship portals.  
[9]  
Remote Work and Satisfaction for Black Engineers and Computer Scientists  
This paper examines how remote work impacts job satisfaction and professional experiences. The findings show  
that remote work offers flexibility and an improved work-life balance but can also lead to challenges like reduced  
engagement and social isolation. Although the study is not specific to internships, its results are applicable for  
understanding remote internship experiences. The research does not explore how online platforms can enhance  
or support remote work environments.  
Catalysis in Modern Drug Discovery: Insights from a Graduate Student-Taught Undergraduate Course  
[10]  
This study focuses on a course-based learning approach that provides hands-on experience to undergraduate  
students. The authors highlight that structured practical exposure improves student understanding and skill  
development. While the study is unrelated to internships or online platforms, it reinforces the importance of  
experiential learning, which is a key goal of internship programs.  
All Internships Are Not Created Equal: Job Design, Satisfaction, and Vocational Development in Paid  
and Unpaid Internships [11]  
This research looks at how internship structure, job design, and payment affect student satisfaction and career  
growth. The study finds that paid and well-structured internships provide better learning and professional  
outcomes. However, it does not discuss how online internship portals can help ensure quality, transparency, or  
standardization of internship opportunities.  
Virtual Internships in Open and Distance Learning Contexts: Improving Access, Participation, and  
[12]  
Success for Underrepresented Students  
This paper examines the role of virtual internships in open and distance learning programs. The authors report  
that virtual internships enhance access and participation, especially for students from underrepresented or remote  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026  
backgrounds. Despite these advantages, the study does not address platform-level issues like security,  
verification of internship providers, or intelligent matching mechanisms. Summary of Literature Survey Overall,  
existing research mainly focuses on the benefits of internships, student experiences, and learning outcomes. Very  
few studies address comprehensive online internship portals that include usability, intelligent matching, security,  
and institutional collaboration. These gaps point to the need for further research on reliable, secure, and user-  
friendly internship portal systems.  
The literature review is based on research papers collected from respected academic databases like IEEE Xplore,  
Scopus, and Google Scholar, published between 2020 and 2024. The reviewed studies are examined to  
understand key aspects of online internship platforms, including platform features, security and verification  
challenges, and smart matching mechanisms. Unlike earlier surveys that mainly focus on usability or job  
outcomes, this review offers a wider and more organized look at the technological and functional aspects of  
internship portals.  
COMPARATIVE ANALYSIS OF EXISTING APPROACHES  
Ref.  
Focus Area  
Approach  
Key Limitation  
[1]  
Employability prediction  
ML-based survey  
Not integrated with internship  
portals  
[2]  
[3]  
Internship access barriers  
Field-theoretic analysis  
Case study  
No  
solution  
digital or portal-based  
Online internships (COVID-19)  
Short-term focus, no platform  
analysis  
[4]  
[5]  
[6]  
[7]  
[8]  
Web-based platforms  
Online internship models  
Remote work experience  
Internship job design  
Virtual internships  
System comparison  
Conceptual analysis  
Empirical study  
Not internship-specific  
Lacks empirical validation  
Not specific to internships  
No portal standardization  
Comparative analysis  
Distance education study  
Security and verification not  
addressed  
IDENTIFIED RESEARCH GAPS  
Based on the reviewed literature, the following research gaps are identified:  
Lack of Intelligent Matching Mechanisms: Most internship portals use basic search and filtering techniques.  
They do not support AI-driven or skill-based matching between students and internship opportunities.  
Limited Employability Analytics: Current systems do not track student skill development, internship  
outcomes, and career progression over time.  
Absence of Standardized Evaluation Frameworks: There is no common way to evaluate internships in  
relation to outcome-based education (OBE) and academic performance metrics.  
Poor Academic System Integration: Integration with systems like ERP and Learning Management Systems  
(LMS) is limited. This reduces coordination between academic institutions and internship platforms.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026  
Security and Privacy Challenges: Many platforms do not provide enough security measures and fail to comply  
with data privacy standards. This raises concerns about data protection and user trust.  
Weak Industry Engagement: Existing research shows limited ways to  
encourage  
active and ongoing  
participation from industry partners.  
Inadequate Support for Flexible Internship Models:  
There is not enough support for mobile access and remote or hybrid internship models. This limits scalability  
and real-world adoption.  
DISCUSSION  
The shift from traditional networking to digital platforms has made it easier to find internships, but it has also  
created new challenges. While sites like LinkedIn and Internshala have moved the process online, they mainly  
rely on basic search filters instead of smart, AI-based tools that truly recognize a student's skills.  
One of the biggest issues we found is the "trust gap." Many students still worry about fake job postings or the  
safety of their personal data. Additionally, these platforms often feel disconnected from actual college systems,  
which makes it hard for schools to track whether an internship is helping a student learn what they need for their  
degree.  
To address this, the next generation of portals needs to do more than just list jobs. They should use better  
verification methods, like blockchain, to prevent fraud and improved AI to match the right student to the right  
role. By making these platforms more secure and better connected to universities, we can ensure that every  
student has a fair chance at a high-quality internship.  
CONCLUSION  
Internship portals have revolutionized career development by bridging the gap between academic learning and  
professional experience. Platforms like LinkedIn and Internshala have made the process more efficient through  
automated matching and real-time tracking. However, challenges such as data privacy, fraudulent postings, and  
a lack of integration with university systems still need to be addressed. By adopting future technologies like  
blockchain for verification and AI for personalized recommendations, these platforms can better support student  
employability and industry-academia collaboration. Ultimately, as digital learning continues to grow, these  
portals will remain essential tools for matching talent with opportunity on a global scale.  
ACKNOWLEDGMENT  
The authors would like to thank Dr. Himanshu V. Taiwade Sir from the Department of Computer Science and  
Engineering for his valuable mentorship, technical guidance, and continuous encouragement throughout this  
systematic review. His deep knowledge of internship models and AI systems played a key role in shaping this  
research.We also want to thank the faculty members and the whole team at the Department of Computer Science  
and Engineering at Priyadarshini College of Engineering, Nagpur. Their support and appreciation created a  
motivating environment that made this study possible. We are thankful for the department's effort in helping  
students connect academic learning with real-world experience.  
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INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,  
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)  
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue I, January 2026  
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