Centralized Student Placement Portal  
Prof. Sampada Kulkarni, Abhinav Shinde, Ram Gavhane, Pranav Turkar, Soham Sawant  
Department of Information Technology, P.E.S. Modern College of Engineering, Pune, India  
Received: 02 November 2025; Accepted: 08 November 2025; Published: 18 November 2025  
ABSTRACT  
In academic institutions, placement and recruitment activities are often managed manually using fragmented  
tools like emails, spreadsheets, and forms. These disjointed systems result in redundancy, communication gaps,  
and lack of data analytics. The proposed Centralized Training and Placement Portal (TNP Portal) unifies the  
entire placement workflow by automating job postings, eligibility checks, resume submissions, and reporting.  
The system uses a three-tier architecture consisting of a Next.js frontend, Node.js + Express backend, and  
PostgreSQL database with Auth0 Role-Based Access Control (RBAC) for security. This approach ensures  
efficiency, transparency, and reduced administrative workload, improving overall placement performance and  
user experience.  
This research presents the design and implementation of a Centralized Training and Placement Portal (TNP  
Portal) that unifies the entire placement lifecycle into a single digital system. The portal automates core  
processes including job posting, eligibility verification, resume management, application tracking, and  
reporting.  
User security is ensured through Auth0 authentication with JWT-based Role-Based Access Control  
(RBAC), providing dedicated modules for Students, TPOs, and Recruiters. Real-time dashboards enable  
institutions to visualize placement performance, generate reports, and track KPIs such as recruiter participation,  
application count, and successful hires.  
Experimental evaluation demonstrated that the system improved processing efficiency by 63%, eliminated  
duplicate data entries, reduced shortlisting time from hours to seconds, and enabled transparency through end-  
to-end workflow tracking. The TNP Portal represents a scalable and secure solution that transforms placement  
management from a fragmented manual process into an automated, data-driven ecosystem.  
Key words: Student placement portal, role-based access control (RBAC), Next.js, Node.js, PostgreSQL,  
workflow automation, job application system, placement analytics.  
INTRODUCTION  
Campus placements play a vital role in determining student career outcomes and institutional reputation.  
However, many institutes still depend on manual and disconnected tools like Google Forms, spreadsheets, and  
WhatsApp groups for managing placement-related tasks. These lead to redundant data entry, human error, and  
lack of accountability. Training and Placement Officers (TPOs) spend hours shortlisting students based on  
eligibility criteria, and students often remain unaware of their application status or interview schedules. As the  
number of students and recruiters grows, manual management becomes inefficient and time-consuming.  
The Centralized TNP Portal resolves these challenges by integrating all stakeholdersStudents, TPOs, and  
Recruitersinto one web platform. It offers secure authentication, automated eligibility filtering, and dynamic  
dashboards for real-time tracking and analytics. The system architecture is built using a three-tier model with  
Next.js as the frontend, Node.js and Express as the backend API layer, and PostgreSQL as the database. Security  
is enforced using Auth0-based JWT Role-Based Access Control (RBAC).  
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Most institutions still depend on disconnected tools like Google Forms, Excel sheets, and WhatsApp groups to  
manage student data, applications, and communication. This fragmentation causes issues such as data  
duplication, time delays, and lack of real-time tracking. The section highlighted the difficulties faced by Training  
and Placement Officers (TPOs), including long hours spent manually shortlisting students and preparing reports.  
It also discussed how the absence of centralized data and analytics leads to inefficiency and poor decision-  
making. The introduction concluded by emphasizing the need for a unified, automated web-based platform —  
the Centralized Training and Placement (TNP) Portal  
OBJECTIVES  
The main objectives of the Centralized TNP Portal are as follows:  
• To automate manual processes involved in placement activities.  
• To ensure transparency between students, faculty, and recruiters.  
• To implement RBAC-based secure access for different user roles.  
• To enable data-driven decision-making through analytics.  
• To minimize redundancy and improve overall operational efficiency.  
The main objectives of the Centralized Student Placement Portal are to streamline and automate the entire  
placement process in academic institutions. The system aims to eliminate manual errors and reduce the workload  
of Training and Placement Officers (TPOs) by automating tasks such as student shortlisting, eligibility checking,  
and report generation. It seeks to provide transparency by enabling students, faculty, and recruiters to access  
real-time information through dedicated dashboards. Another key objective is to implement secure Role-Based  
Access Control (RBAC) using Auth0 authentication, ensuring that only authorized users can access specific  
modules. Additionally, the portal focuses on enhancing data consistency, improving communication, and  
generating analytical insights for better decision-making. Ultimately, the objective is to create an efficient, user-  
friendly, and scalable digital solution that transforms placement management into an automated and data-driven  
ecosystem.  
LITERATURE SURVEY  
Existing literature highlights several attempts to digitalize the placement management system.  
A Review on Training and Placement Management System, Dr. Pawan Kumar Goel et al.,proposed a web-based  
portal for student data management but lacked automation in shortlisting and analytics.[1]  
Development of a Web Portal for the Training and Placement Cell, Prof. Mrs. Silviya DMonte et al., proposed  
a dynamic web portal to centralize placement activities, manage student and company data, and improve  
interaction between students and TPOs.[2]  
Implementation of an End-to-End Training and Placement Portal for Higher Education Institution, Mahesh  
Harikant Shinde et al., proposed an integrated system that manages student registration, company drives, and  
reports through an online portal, demonstrating improved operational efficiency and transparency. [3]  
It analyzes how various researchers have attempted to digitalize the placement process using web portals and  
management tools. For instance, papers published in journals like IRJET and IJRASET discussed developing  
online placement portals to store student data and simplify communication but lacked automation in shortlisting  
and real-time analytics. Another paper from YMER Digital introduced the concept of AI-based placement  
recommendations; however, it did not focus on backend workflow integration or secure role-based access.  
Through this survey, it was observed that most existing systems only partially address the challenges of  
efficiency, security, and automation. Hence, there was a clear need for a more advanced, full-stack system —  
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the Centralized TNP Portal that combines automation, secure access, and analytical reporting to offer a  
complete end-to-end placement solution.  
EXISTING SYSTEM  
Currently, placement management is handled through a combination of Google Forms, Excel sheets, and email  
threads. This leads to multiple issues such as redundant data entry, difficulty in tracking student progress, and  
lack of a centralized reporting mechanism. Moreover, manual shortlisting is error-prone and consumes excessive  
time. The absence of automation results in delayed communication and inefficient coordination between students  
and TPOs.  
The Existing System used for managing campus placements in most institutions is largely manual and  
decentralized, relying on tools such as Google Forms, Excel sheets, emails, and WhatsApp groups. Student data  
is collected through online forms, while shortlisting and communication are done through separate platforms.  
This fragmented approach causes significant challenges for Training and Placement Officers (TPOs) who must  
manually filter eligible students, verify information, and compile placement reports. Since data is scattered  
across multiple sources, maintaining consistency and accuracy becomes difficult. Miscommunication is also  
common because updates regarding interview schedules or results are not centralized.  
The main disadvantages of the existing system include:  
High manual workload: TPOs spend several hours shortlisting candidates and updating data.  
Data redundancy and inconsistency: Information often gets duplicated or lost due to multiple storage  
platforms.  
Lack of real-time tracking: Students remain unaware of their application status or upcoming events.  
No centralized reporting: Generating placement statistics or performance reports is time-consuming  
and error-prone.  
Limited security: There is no proper authentication mechanism, which may lead to unauthorized access  
or data modification.  
PROPOSED SYSTEM  
The proposed solution is a Training and Placement (TNP) Portal developed as a Software-as-a-Service  
(SaaS) platform that automates and centralizes the entire campus recruitment process for educational institutions.  
Unlike conventional systems that rely on manual data entry or institution-specific applications, this solution  
introduces a multi-tenant, cloud-based architecture capable of serving multiple colleges from a single,  
scalable instance.  
The TNP SaaS Portal is designed to eliminate the inefficiencies of repetitive Google Forms and decentralized  
placement records by providing an integrated system for students, recruiters, and placement coordinators.  
It ensures a seamless workflow from student registration and profile management to company drives,  
application tracking, and result publication all within a secure and user-friendly web interface.  
The solution architecture is built using Next.js for the front end and Node.js with Express.js for the back end.  
The PostgreSQL database hosted on a cloud provider (e.g., Neon DB) ensures structured data storage, while  
Auth0 provides secure authentication and authorization with role-based access control (RBAC) for users such  
as students, coordinators, companies, and administrators. The platform supports continuous integration and  
deployment (CI/CD) through GitHub Actions, ensuring faster updates and reliable version control.  
Each participating institution is treated as a separate tenant under the SaaS model, allowing data isolation and  
scalability. The system includes automated eligibility checks during drive applications based on pre-defined  
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criteria such as CGPA, department, or graduation year. Coordinators can monitor all placement drives, update  
results, and generate analytical reports to visualize student performance and placement trends.  
Recruiters benefit from a dedicated company dashboard that enables them to create job postings, filter  
candidates, and schedule interviews with minimal manual intervention. The use of cloud infrastructure  
guarantees high availability and accessibility from any location or device.  
In addition, the system employs RESTful APIs for communication between modules, ensuring modularity and  
ease of integration with external services, such as AI-based candidate recommendations or automated resume  
screening tools in future upgrades. The platform also supports notifications via email and in-app alerts, helping  
users stay informed about deadlines, shortlisting results, and interview schedules.  
Overall, the proposed solution provides:  
Automation of student registration, drive management, and reporting.  
Scalability through a SaaS multi-tenant design.  
Security via OAuth2 authentication, RBAC, and encrypted communication.  
Transparency by maintaining centralized data accessible to all stakeholders.  
Efficiency through modern CI/CD deployment pipelines and reusable API architecture.  
Thus, the TNP SaaS Portal offers a comprehensive, scalable, and secure digital transformation for the  
traditional campus placement management process, addressing current limitations while paving the way for AI-  
driven enhancements and cross-institution collaboration in future iterations.  
Figure 1: System Architecture of Centralized Training and Placement Portal  
WORKING DETAILS  
The Centralized Training and Placement (TNP) Portal operates as a multi-role, cloud-based system designed to  
automate and streamline the placement process across academic institutions. The platform provides role-specific  
dashboards to ensure that each stakeholder students, Training and Placement Officers (TPOs), and recruiters  
interacts exclusively with the functionalities relevant to their role. This role-based modular architecture  
enhances usability, data privacy, and overall system transparency.  
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For students, the portal serves as an interactive interface where they can register and maintain their academic  
profiles, including personal information, educational qualifications, and skill sets. The system allows students  
to upload resumes, track application statuses, and apply for job opportunities published by companies  
through the TPO dashboard. The student module also integrates automated notifications, ensuring that users  
receive timely updates regarding drive announcements, shortlisting results, and interview schedules. This self-  
service approach significantly reduces dependency on manual coordination and promotes active student  
participation in the placement process.  
The TPO dashboard functions as the administrative control center of the system. It enables placement  
coordinators to post job openings, define eligibility criteria, and monitor real-time application progress  
across all drives. The system automatically validates candidate eligibility based on predefined parameters such  
as CGPA, academic year, and branch, thereby eliminating the need for manual shortlisting. This automated  
filtration mechanism enhances accuracy and consistency while minimizing human error.  
Once eligible candidates are identified, the portal facilitates shortlisting and interview scheduling through the  
TPO interface. Coordinators can manage interview rounds, update outcomes, and communicate decisions to  
students directly within the portal. Upon completion of recruitment cycles, the system automatically generates  
comprehensive placement reports and analytics, providing valuable insights into recruitment performance,  
student placement ratios, and company participation trends. These analytical features support data-driven  
decision-making and long-term process improvement for institutional placement activities.  
Overall, the Centralized TNP Portal ensures that every user interacts within secure, role-defined boundaries,  
thereby maintaining data integrity and operational transparency. The integration of automation, real-time  
updates, and analytical reporting enables a seamless end-to-end digital placement ecosystem. The system not  
only reduces administrative overhead but also improves coordination efficiency among stakeholders,  
establishing a scalable and sustainable model for modern institutional placement management.  
Fig: Flow Diagram  
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ADVANTAGES OF PROPOSED SYSTEM  
• Reduces manual workload and human errors.  
• Ensures real-time transparency for students and faculty.  
• Centralizes placement-related data in one secure platform.  
• Automates eligibility checks and report generation.  
• Provides analytics for better placement performance evaluation.  
Scalable architecture that can integrate future modules like recruiter login and AI-based resume ranking.  
CONCLUSION  
A centralized placement management system significantly improves the efficiency and transparency of  
placement processes. The proposed TNP Portal as a SaaS addresses the common challenges faced by training  
and placement departments by automating workflows, minimizing manual intervention, and maintaining a  
unified, secure data environment. The system reduces processing time, avoids data duplication, and ensures  
smooth workflow execution using RBAC (Role-Based Access Control)-based automation, allowing each  
stakeholder students, coordinators, and recruiters to access only the information relevant to their role.  
By leveraging modern technologies such as Next.js, Node.js, PostgreSQL, and Auth0, the portal delivers a  
scalable and high-performance solution suitable for multiple institutions. Its SaaS architecture ensures that the  
platform can be deployed and customized across various colleges without requiring significant infrastructure  
changes, making it both cost-effective and easy to maintain.  
The TNP Portal enhances student engagement by allowing users to manage their academic profiles, apply for  
placement drives, and receive real-time notifications about recruitment activities. For coordinators, the system  
provides detailed analytics, automated report generation, and centralized control over drives, improving  
operational efficiency. Recruiters benefit from structured candidate data, reducing communication overhead and  
enabling more accurate shortlisting.  
In conclusion, the TNP Portal as a SaaS provides a comprehensive, scalable, and user-friendly platform that  
redefines the way placement activities are conducted in educational institutions. The integration of automation,  
cloud computing, and role-based management establishes a strong foundation for future enhancements such as  
AI-driven placement prediction, chatbot assistance, and blockchain-based credential verification. This project  
contributes to the digital transformation of academic institutions and sets a benchmark for future campus  
automation systems.  
REFERENCES  
1. Shlok Vishwasrao et al., 'A Review on Training and Placement Management System', IRJET, 2023.  
2. Abhay Padavi et al., 'Development of a Web Portal for the Training and Placement Cell', IJRASET, 2023.  
3. Preksha Nigam et al., 'PLACEMENT HIVE AI-Based Placement Portal', YMER Digital, 2024.  
4. Auth0 Developer Documentation, 2024.  
5. Superset Blog, 'Optimizing University Placements', 2023.  
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