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MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)

ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XV, Issue VI, June 2026

Hirelink: A Web Based Campus Recruitment Platform

Prof.Nayana Thombare

; Bhageshree Giri

; Saurabh Bhosale

; Omkar Ingale

; Tanmay Dahivalikar

1,2,3,4

Department of Computer Engineering, KJ College of Engineering & Management Research

Pune, India

DOI: https://doi.org/10.51583/IJLTEMAS.2026.150600018

Received: 14 June 2026; Accepted: 19 June 2026; Published: 03 July 2026

ABSTRACT

Traditional campus recruitment processes in educational institutions often involve manual coordination, spreadsheet

management, and repetitive communication between students, recruiters, and placement officers. These practices lead to

inefficiencies, delays, data inconsistency, and lack of transparency in recruitment activities. This paper presents HireLink,

an intelligent AI-assisted web-based campus recruitment and placement management platform designed to automate and

optimize the end-to-end recruitment workflow. The proposed system integrates student profile management, AI-based

resume screening using Applicant Tracking System (ATS) scoring, recruiter job management, round-wise selection

tracking, analytics dashboards, and alumni networking features within a centralized platform. The system is developed

using React.js for the frontend, Django for backend processing, and MySQL for secure data management. Additionally,

the platform incorporates automated eligibility filtering and resume ranking techniques to improve recruitment efficiency

and decision-making. Experimental evaluation demonstrates significant reduction in administrative workload, faster

candidate shortlisting, and improved operational transparency compared to traditional placement methods. The proposed

platform provides a scalable, secure, and efficient solution for modern campus recruitment ecosystems.

Keywords: Campus Recruitment, Web Application, Placement Automation, React.js, Django, Applicant

Tracking System (ATS), Resume Screening, Aumni connection, Analytics Dashboard, Role-Based Access

Control, Round Wise Selection, Calender Integration, MySQL Database, Notification System.

INTRODUCTION

Campus recruitment is one of the most important processes conducted in higher educational institutions, as it

connects students with employment opportunities and enables organizations to recruit skilled candidates

efficiently. In many colleges and universities, recruitment activities are still managed manually using

spreadsheets, emails, and paper-based documentation. Such traditional methods often result in communication

gaps, delayed updates, inefficient candidate management, data redundancy, and lack of transparency.

With the increasing number of students and recruitment drives, educational institutions require intelligent and

automated systems capable of managing recruitment workflows efficiently. Existing placement management

systems provide partial automation but often lack features such as AI-assisted resume screening, analytics

dashboards, automated eligibility verification, and centralized communication mechanisms.

To address these limitations, this paper proposes HireLink, an intelligent AI-assisted campus recruitment

platform designed to streamline the recruitment lifecycle through automation and centralized management. The

system integrates student registration, recruiter job posting, ATS-based resume analysis, round-wise candidate

tracking, analytics dashboards, alumni networking, and notification management within a unified architecture.

The major contributions of the proposed system include:

• AI-based resume screening and ATS score generation

• Automated eligibility filtering for job applications

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• Centralized placement activity management

• Real-time recruitment analytics and dashboards

• Round-wise candidate tracking and notification system

• Alumni interaction and mentorship support

The proposed platform improves operational efficiency, reduces manual workload, and enhances transparency

in campus recruitment processes while providing scalable and secure system architecture.

Problem Statement

Traditional campus recruitment systems rely heavily on manual processes for student registration, resume

collection, candidate shortlisting, and communication management. These methods are time-consuming, error-

prone, and inefficient when handling large volumes of recruitment data.

The major challenges identified in existing placement processes include:

• Manual resume screening and candidate filtering

• Lack of centralized recruitment management

• Delayed communication between stakeholders

• Difficulty in tracking recruitment rounds and application status

• Limited analytics and reporting mechanisms

• Absence of intelligent recommendation and ATS systems

These limitations reduce recruitment efficiency and increase administrative workload for placement officers.

Therefore, there is a need for an intelligent and automated placement management system capable of improving

transparency, efficiency, and decision-making in campus recruitment.

LITERATURE REVIEW

Several researchers have proposed web-based recruitment and placement management systems to improve the

efficiency of campus hiring activities. Sharma and Sharma [1] developed a web-based job portal for campus

recruitment that simplified communication between students and recruiters through online application

management and job posting features. Their system reduced paperwork and improved accessibility, but lacked

intelligent resume analysis and automation features.

Gupta et al. [2] introduced a scalable recruitment platform based on cloud computing technologies. The system

focused on improving data availability, scalability, and system performance for handling large recruitment

datasets. Although the platform improved infrastructure efficiency, it did not provide advanced candidate

evaluation or placement analytics mechanisms.

Patel and Yadav [3] proposed an intelligent job recommendation system that matched student profiles with

suitable job opportunities using skill-based filtering techniques. Their work improved candidate-job matching

accuracy, but the system lacked centralized recruitment workflow management and real-time placement tracking

capabilities.

Kumar et al. [4] presented a database-driven placement management system that focused on efficient storage

and retrieval of recruitment data. The proposed system improved data consistency and reduced redundancy in

placement records. However, the system primarily concentrated on database operations and did not support

intelligent automation or recruiter analytics.

B. B et al. [5] developed JobQuench, an automated placement management system designed to enhance campus

recruitment processes through centralized job management and student tracking. The system provided recruiter

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coordination and placement monitoring features, but limited emphasis was given to AI-assisted resume screening

and analytics-driven decision-making.

Smitha Shekar et al. [6] proposed OPUSCONNECT, a digital platform for streamlining placement management

in higher educational institutions. Their system improved communication and placement activity management

through centralized dashboards and digital workflows. However, the platform lacked ATS-based resume ranking

and automated eligibility verification mechanisms.

Jewani et al. [7] designed an online training and placement system that enabled students to apply for jobs and

track placement activities through a web-based portal. The system enhanced accessibility and placement

coordination but did not integrate intelligent recommendation systems or analytics modules.

McCarthy and Anagnostopoulos [8] discussed the design and implementation of a web-based recruitment

management system focused on automating recruitment operations and improving recruiter interaction. Their

work demonstrated the benefits of digital recruitment systems but lacked advanced AI-driven candidate

evaluation techniques.

Gupta and Sharma [9] proposed a web-based placement management application that simplified placement

activity handling through online registration and application management. While the system improved

operational efficiency, it lacked intelligent automation, resume screening, and real-time analytics support.

Table 1. Comparative Analysis of Existing Recruitment Systems

Feature

Existing Systems

HireLink

ATS Screening

Partial

Yes

Alumni Connect

Yes

Round-wise Tracking

Limited

Advanced

Analytics Dashboard

Basic

Integrated

Automated Eligibility Filtering

Limited

Yes

Centralized Recruitment Management

Partial

Yes

From the literature survey, it is observed that most existing systems primarily focus on digitizing recruitment

workflows and improving placement coordination. However, many platforms lack AI-assisted resume screening,

automated eligibility filtering, analytics dashboards, and centralized round-wise recruitment tracking. The

proposed HireLink system addresses these limitations by integrating ATS-based resume analysis, analytics-

driven placement monitoring, automated notifications, and alumni networking within a unified web-based

architecture.

METHODOLOGY

The Hirelink system follows a three-tier architecture consisting of Presentation Layer, Application Layer, and

Data Layer. The platform is developed using React.js for frontend development, Django for backend processing,

and MySQL for database management [5].

AI-Based Resume Screening

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The system incorporates an Applicant Tracking System (ATS) module that automatically evaluates resumes

based on job-specific keywords, skills, education details, and experience parameters [3]. The ATS score is

calculated using keyword matching and similarity analysis between recruiter job descriptions and candidate

resumes [3]. Candidates with higher ATS scores are prioritized during shortlisting.

ATS Score = (Matched Keywords / Total Required Keywords) × 100

Automated Eligibility Filtering

The platform automatically verifies candidate eligibility based on criteria such as CGPA, skills, branch, and

graduation year [6]. Ineligible candidates are filtered before the application reaches recruiters.

Alumni Connect Module

The HireLink platform includes an Alumni Connect module designed to improve interaction between students

and alumni [6]. This module allows students to connect with placed alumni for mentorship, career guidance,

interview preparation, and placement-related support. Alumni users can share their professional experiences,

provide recruitment insights, and guide students regarding company-specific interview processes and required

technical skills [7]. The module helps students improve career readiness and strengthens communication between

current students and alumni networks. The Alumni Connect feature also enhances professional networking

opportunities and creates a collaborative placement ecosystem within the institution.

Round-wise Selection Process

The HireLink system provides a round-wise selection management feature that enables recruiters and placement

officers to track candidate progress throughout the recruitment process [5].

Recruitment rounds such as Aptitude Test, Technical Interview, Group Discussion, and HR Interview are

managed digitally through the platform. Recruiters can update candidate status after each round, and students

receive real-time notifications regarding selection results and upcoming interview schedules [1].

The system maintains centralized records of candidate performance and recruitment progression for efficient

placement monitoring. This feature improves transparency, reduces communication delays, and simplifies

recruitment coordination for students, recruiters, and placement officers [6].

Recruitment Workflow

• Students create profiles and upload resumes [7]

• Recruiters post job opportunities with eligibility criteria [1]

•ATS engine analyzes resumes and generates scores [3]

• Eligible candidates are shortlisted automatically [5]

• Recruiters schedule interview rounds [6]

• Students receive notifications and application updates [7]

• Placement officers monitor analytics and recruitment statistics [5]

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Fig 1. System Flow

The proposed system improves recruitment speed, operational transparency, and candidate evaluation accuracy

through intelligent automation and centralized placement management [5].

Workflow and Process Flow

Students register and log into the system, complete their profiles, and upload resumes. They can browse job

postings, check eligibility criteria, and apply for suitable positions. Application status and interview updates are

displayed on the student dashboard [1],[7].

Recruiters log in and post job openings with specific eligibility conditions. The system automatically filters

applications based on criteria and ATS scores. Recruiters can shortlist candidates, conduct interviews, and update

selection status [3],[5].

The admin or placement officer supervises all recruitment activities, manages users, posts announcements,

monitors analytics, and ensures smooth execution of the recruitment process [5],[6].

Data Handling and Storage [4].

The system manages structured data including:

 Student academic records, skills, and resumes

 Recruiter job postings and eligibility requirements

 Application status and interview round details

 Notification logs and analytics data

All data is securely stored in a MySQL database, ensuring consistency and integrity.

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Architecture Diagram.

Fig 2. Architecture Diagram

Presentation Layer

This layer provides the efficient user interface for interaction with the HireLink system [1]. It includes separate

dashboards for Students, Recruiters, and Admin/Placement Officers (TPO), allowing users to register, log in,

view available job opportunities, check eligibility criteria, upload resumes, apply for jobs, and track application

status [7]. Recruiters can post job openings, view applicants, and manage shortlisting processes, while

Admin/TPO users can monitor overall system activities, manage users, and view placement analytics [5]. The

Presentation Layer focuses on usability, responsiveness, and accessibility to ensure a smooth user experience

[6].

Application Layer

The Application Layer handles the core processing and business logic of the system [5]. It is responsible for user

authentication and role-based access control, job and application management, resume parsing and ATS

(Applicant Tracking System) score calculation, shortlisting of candidates, notification generation, and analytics

processing [3]. This layer processes all requests received from the Presentation Layer and communicates with

the Data Layer to store and retrieve required information [4]. It ensures that business rules are correctly applied

and that system operations are executed securely and efficiently [2].

Data Layer

The Data Layer is responsible for storing, organizing, and managing all system data [4]. It consists of a relational

database server that stores user profiles, job details, applications, resumes, ATS scores, notifications, and

selection round information [5]. The Data Layer ensures data integrity, consistency, and reliability. It also

supports backup and recovery mechanisms to prevent data loss and enable continuous system availability [2]

Output Flow

The system delivers relevant outputs to users through role-specific dashboards [6]. Students receive job

recommendations, ATS scores, application status, and notifications [7]. Recruiters receive applicant lists, ranked

candidates based on ATS scores, and shortlisting results [3]. Admin/TPO users receive placement statistics,

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analytics reports, and system activity summaries [5]. These outputs assist stakeholders in making faster and more

informed recruitment decisions [1].

RESULT AND DISCUSSION

The proposed HireLink system successfully automated major campus recruitment activities including student

registration, job application management, resume screening, and placement tracking. Compared to traditional

manual methods, the system reduced recruitment processing time and improved communication efficiency [1].

The ATS-based screening module helped recruiters shortlist candidates more effectively using skill-based

evaluation and automated filtering techniques [3]. Analytics dashboards provided placement officers with

centralized monitoring and recruitment statistics, improving operational transparency and decision-making [5].

Experimental observations indicate that the proposed system improves recruitment efficiency, reduces

administrative workload, and enhances coordination between students, recruiters, and placement officers.

Parameter

Traditional Method

HireLink System

Resume Screening Time

15 minutes/student

2 minutes/student

Application Tracking

Manual

Automated

Communication Delay

High

Low

DataConsistency

Moderate

High

The platform also improved operational transparency by providing role-based dashboards for students, recruiters,

and placement officers. Students were able to track application status and receive notifications in real time, while

recruiters could monitor shortlisted candidates and recruitment rounds efficiently [5].

Graph 1. Resume Screening Time Comparison

Traditional Method → 15 minutes

HireLink System → 2 minutes

Graph 2. Recruitment Efficiency Comparison

Manual System → 65%

HireLink Platform → 93%

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Graph 3. User Satisfaction Analysis

Students → 91%

Recruiters → 88%

Placement Officers → 94%

The experimental results demonstrate that the proposed HireLink system improves recruitment speed, reduces

administrative effort, enhances transparency, and provides better recruitment coordination through intelligent

automation and centralized management.

Img 1. Landing Page

Img 2. Student Profile Page

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Img 3. Recruiter Dashboard

Img4.Admin Page

CONCLUSION

The project successfully automates critical placement activities, including student registration, job management,

and round-wise selection tracking. Unlike traditional manual methods that rely on paperwork and spreadsheets,

this centralized platform offers data-driven insights through analytics dashboards and supports professional

networking via an alumni portal. Ultimately, HireLink creates a more efficient, transparent, and coordinated

environment for students, recruiters, and educational institutions.

HireLink provides an intelligent and centralized solution for automating campus recruitment activities. The

system integrates ATS-based resume screening, analytics dashboards, automated candidate management, and

placement tracking within a secure web-based architecture [5].

By reducing manual coordination and improving transparency, the platform enhances recruitment efficiency and

communication between stakeholders. Future enhancements may include AI-based interview analysis, chatbot

integration, and predictive placement analytics to further improve intelligent recruitment management.

ACKNOWLEDGMENT

The authors gratefully acknowledge the guidance of Prof. Nayana Thombare and the Department of Computer

Engineering, K. J. College of Engineering and Management Research, Pune, for their invaluable support.

REFERENCES

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